CN113887485A - Fingerprint chip detection and good product identification method and system - Google Patents
Fingerprint chip detection and good product identification method and system Download PDFInfo
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Abstract
The invention discloses a fingerprint chip detection and good product identification method and system, and relates to the technical field of chip detection and good product identification. The method comprises the following steps: the fingerprint chip is accessed into a fingerprint identification system, and the fingerprint chip extracts the corresponding biological characteristics of the fingerprint in the process of collecting the fingerprint; respectively adopting the living fingerprints and the fingerprint mold as fingerprint input objects, and when the living fingerprints are used as the input objects, if the fingerprint chip acquires the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is lower than a first preset threshold value, judging that the fingerprint chip is a defective product; when the fingerprint mold is used as an input object, if the fingerprint chip collects the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is higher than or equal to a second preset threshold value, the fingerprint chip is judged to be a good product. The method solves the detection operation process of potential safety hazard caused by cloning the fingerprint film, improves the detection efficiency, and better realizes the fingerprint chip detection and good product identification.
Description
The technical field is as follows:
the invention relates to the field of detection devices, in particular to a fingerprint chip detection and good product identification method and system.
Background art:
at present, a fingerprint chip detection method detects parameters, pins and the like of a fingerprint chip one by one, then picks out defective products, and then packages the good products. The detection usually ignores a clone fingerprint film, fingerprints can be collected from various ways along with the improvement of life and the development of science and technology, and the fingerprint film which is made of colloid materials and has the same grain with the extracted fingerprints is used for breaking a fingerprint identification system, so that great potential safety hazard is brought to the identification system of a fingerprint chip.
The invention content is as follows:
the invention provides a fingerprint chip detection and good product identification method and system, which aim to solve the problem that the existing fingerprint chip detection method in the prior art is to detect parameters, pins and the like of a fingerprint chip one by one, then pick out defective products and package good products. The detection usually ignores a clone 'fingerprint film', fingerprints can be collected from various ways along with the improvement of life and the development of science and technology, and the fingerprint film which is made of colloid materials and has the same grain with the extracted fingerprints is used for breaking a fingerprint identification system, so that the problem of great potential safety hazard is brought to the identification system of a fingerprint chip.
In order to achieve the purpose, the invention provides the following technical scheme:
the invention provides a fingerprint chip detection and good product identification method, which comprises the following steps:
s101: accessing a fingerprint chip into a fingerprint identification system, so that the fingerprint chip acquires a biological characteristic corresponding to a fingerprint in the process of acquiring the fingerprint;
s102: respectively adopting the living fingerprint and the fingerprint mold as fingerprint input objects, and enabling the fingerprint chip to repeatedly acquire biological characteristics corresponding to the fingerprints;
s103: when the living fingerprint is taken as an input object, if the fingerprint chip acquires the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is lower than a first preset threshold value, the fingerprint chip is judged to be a defective product;
s104: when the fingerprint mold is used as an input object, if the fingerprint chip collects the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is higher than or equal to a second preset threshold value, the fingerprint chip is judged to be a good product.
Wherein the S101 includes:
s1011: the fingerprint chip collects a fingerprint image in the process of collecting the fingerprint;
s1012: analyzing the fingerprint image, and acquiring fingerprint data characteristics according to the analysis of the fingerprint image; the fingerprint data features include: fingerprint line shape characteristic, fingerprint line definition characteristic and fingerprint line thickness characteristic;
s1013: detecting a biological characteristic corresponding to a fingerprint image based on a biological sensor in the fingerprint chip;
s1014: storing the fingerprint data characteristics and the biological characteristics in a fingerprint information database as a judgment standard for judging whether the fingerprint passes or not;
s1015: and classifying the fingerprint data characteristics and the biological characteristics in the fingerprint information database according to the classification mode of the living fingerprints and the fingerprint molds.
Wherein, the acquiring of the corresponding biometric features of the fingerprint in S101 includes:
collecting the blood oxygen content corresponding to the fingerprint;
collecting skin impedance characteristics corresponding to fingerprints;
collecting pulse blood pressure corresponding to the fingerprint;
collecting the finger vein corresponding to the fingerprint,
fingerprint activity is detected by collecting the biological characteristics.
Wherein the S103 comprises:
s1031: inputting a living fingerprint for detection; if the biological characteristics are extracted, the fingerprint image is verified to belong to a living body, and enhancement and refinement processing are carried out on the fingerprint image;
s1032: comparing the fingerprint data characteristics corresponding to the fingerprint image with the data characteristics stored in a fingerprint information database, and if the data characteristics are consistent in comparison, detecting to pass; recording the number of detection passes;
s1033: if the biological features are not extracted during detection or the comparison between the fingerprint data features and the fingerprint information database is inconsistent after the biological features are extracted, the detection fails; recording the number of times of verification failure;
s1034: the setting mode of the first preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 98% of the total detection times as a first preset threshold;
s1035: and if the number of times that the live fingerprints pass is lower than a first preset threshold, determining that the live fingerprints pass is inferior, and if the number of times that the live fingerprints pass is higher than or equal to the first preset threshold, performing the next step, namely detecting the same fingerprint chip through the fingerprint die.
Wherein the S104 includes:
s1041: inputting a fingerprint mold for detection;
s1042: if the biological features are not extracted, the detection is passed; recording the number of detection passes;
s1043: if the biological characteristics are extracted, the detection fails; recording the detection failure times;
s1044: the setting mode of the second preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 99.9% of the total detection times as a second preset threshold;
s1045: and if the number of times of passing the live fingerprints is lower than a second preset threshold value, determining that the product is defective, and if the number of times of passing the live fingerprints is higher than or equal to the second preset threshold value, determining that the product is good.
A fingerprint chip detection and good product identification system comprises:
the first acquisition unit is used for inputting the fingerprint chip, acquiring biological characteristics and fingerprint data characteristics corresponding to the fingerprint, and detecting the fingerprint chip after acquiring the biological characteristics and the fingerprint data characteristics;
the second acquisition unit is used for respectively adopting the living fingerprint and the fingerprint die as fingerprint input objects, so that the fingerprint chip repeatedly acquires the biological characteristics corresponding to the fingerprint;
the fingerprint identification device comprises a first judgment unit, a second judgment unit and a third judgment unit, wherein the first judgment unit is used for judging that a fingerprint chip is a defective product if the fingerprint chip acquires the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is lower than a first preset threshold when the living fingerprint is taken as an input object;
and the second judgment unit is used for judging that the fingerprint chip is a good product if the fingerprint chip collects the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is higher than or equal to a second preset threshold value when the fingerprint mold is taken as an input object.
Wherein the first acquisition unit comprises:
the fingerprint image acquisition subunit is used for acquiring a fingerprint image in the process of acquiring a fingerprint by the fingerprint chip;
fingerprint image analysis subunit: the fingerprint image analysis device is used for analyzing the fingerprint image and acquiring fingerprint data characteristics according to the analysis of the fingerprint image; the fingerprint data features include: fingerprint line shape characteristic, fingerprint line definition characteristic and fingerprint line thickness characteristic;
biosensor detection subunit: the biological sensor used in the fingerprint chip detects the biological characteristics corresponding to the fingerprint image;
fingerprint information database subunit: the fingerprint data characteristic and the biological characteristic are used as judgment criteria for judging whether the fingerprint passes or not to be stored in a fingerprint information database;
a classification subunit: the fingerprint database is used for classifying the fingerprint data characteristics and the biological characteristics in the fingerprint information database according to the classification mode of the living fingerprints and the fingerprint molds.
Wherein, the first collection unit is used for collecting the corresponding biological characteristics of the fingerprint and comprises the following steps:
the blood oxygen content acquisition subunit is used for acquiring the blood oxygen content corresponding to the fingerprint;
the skin impedance acquisition subunit is used for acquiring skin impedance characteristics corresponding to the fingerprints;
the pulse blood pressure acquisition subunit is used for acquiring the pulse blood pressure corresponding to the fingerprint;
the finger vein acquisition subunit is used for acquiring finger veins corresponding to the fingerprints;
and the biological characteristic acquisition subunit is used for detecting fingerprint activity by acquiring the biological characteristics.
Wherein the first determination unit includes:
living fingerprint detection subunit: the fingerprint detection device is used for inputting a living fingerprint for detection; if the biological characteristics are extracted, the fingerprint image is verified to belong to a living body, and enhancement and refinement processing are carried out on the fingerprint image;
live fingerprint first determination subunit: the fingerprint image processing device is used for comparing the fingerprint data characteristics corresponding to the fingerprint image with the data characteristics stored in the fingerprint information database, and if the data characteristics are consistent in comparison, the detection is passed; recording the number of detection passes;
second judgment subunit of living body fingerprint: the fingerprint detection device is used for detecting whether the biological characteristics are not extracted during detection or whether the comparison between the fingerprint data characteristics and the fingerprint information database is inconsistent after the biological characteristics are extracted, and then the detection fails; recording the number of times of verification failure;
a first preset threshold subunit: the setting mode for the first preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 98% of the total detection times as a first preset threshold;
a first determination subunit: and if the number of times that the living fingerprints pass is lower than a first preset threshold, determining that the living fingerprints are inferior, and if the number of times that the living fingerprints pass is higher than or equal to the first preset threshold, performing the next step, namely detecting the same fingerprint chip through the fingerprint die.
Wherein the second determination unit includes:
the mould fingerprint detection subunit: the fingerprint detection device is used for inputting a fingerprint mold for detection;
a first judging subunit of the mold fingerprint: the detection is passed if the biological features are not extracted; recording the number of detection passes;
a first judging subunit of the mold fingerprint: the detection is failed if the biological features are extracted; recording the detection failure times;
a second preset threshold subunit: the setting mode for the second preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 99.9% of the total detection times as a second preset threshold;
a second determining unit: and if the number of times of passing the live fingerprints is lower than a first preset threshold value, determining that the product is defective, and if the number of times of passing the live fingerprints is higher than or equal to a second preset threshold value, determining that the product is good.
Compared with the prior art, the invention has the following advantages:
the invention provides a fingerprint chip detection and good product identification method and system, wherein the fingerprint chip detection and good product identification method comprises the steps of connecting a fingerprint chip into a fingerprint identification system, collecting biological characteristics corresponding to the fingerprint, carrying out living body fingerprint identification by using the biological characteristics, and distinguishing a living body fingerprint and a fingerprint mold, wherein the biological characteristics have safety, reliability and accuracy; the living fingerprint and the fingerprint mold are respectively adopted as fingerprint input objects, so that the fingerprint chip repeatedly collects the biological characteristics corresponding to the fingerprint for multiple times, the biological characteristics corresponding to the fingerprint are collected for multiple times, the judgment error caused by accidental detection is avoided, and the detection result is more accurate; when the living fingerprint is taken as an input object, if the fingerprint chip acquires the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is lower than a first preset threshold value, the fingerprint chip is judged to be a defective product; when the fingerprint mold is used as an input object, if the fingerprint chip collects the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is higher than or equal to a second preset threshold value, the fingerprint chip is judged to be a good product. The fingerprint chip is detected by utilizing the biological characteristics, so that the means of identity verification by utilizing false fingerprints is avoided, and the identity verification by fingerprint detection is safer and more reliable.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Description of the drawings:
the accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flowchart of a method for detecting a fingerprint chip and identifying a good product according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a process of acquiring a biometric feature corresponding to a fingerprint during a process of acquiring the fingerprint by the fingerprint chip according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for taking a live fingerprint as an input object in an embodiment of the present invention;
FIG. 4 is a flowchart of a method for using a fingerprint mold as an input object in the embodiment of the present invention;
fig. 5 is a schematic structural diagram of a fingerprint chip detection and good product identification system according to an embodiment of the present invention.
The specific implementation mode is as follows:
the preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides a fingerprint chip detection and good product identification method, and please refer to fig. 1 to 5, the fingerprint chip detection and good product identification method comprises the following steps:
s101: accessing a fingerprint chip into a fingerprint identification system, so that the fingerprint chip acquires a biological characteristic corresponding to a fingerprint in the process of acquiring the fingerprint;
s102: respectively adopting the living fingerprint and the fingerprint mold as fingerprint input objects, and enabling the fingerprint chip to repeatedly acquire biological characteristics corresponding to the fingerprints;
s103: when the living fingerprint is taken as an input object, if the fingerprint chip acquires the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is lower than a first preset threshold value, the fingerprint chip is judged to be a defective product;
s104: when the fingerprint mold is used as an input object, if the fingerprint chip collects the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is higher than or equal to a second preset threshold value, the fingerprint chip is judged to be a good product.
The working principle of the technical scheme is as follows: firstly, inputting a living fingerprint into a fingerprint identification system in a fingerprint chip, acquiring and extracting biological characteristics and fingerprint image data corresponding to the fingerprint, and recording the extracted biological characteristics and fingerprint image data corresponding to the fingerprint into a fingerprint information database; respectively adopting the living body fingerprint and the fingerprint mould as fingerprint input objects, respectively collecting and extracting the biological characteristics and the fingerprint image data corresponding to the living body fingerprint and the fingerprint mould, matching and comparing the biological characteristics and the fingerprint image data stored in the fingerprint information database to obtain a matching result, and enabling the fingerprint chip to repeatedly collect the biological characteristics and the fingerprint image data corresponding to the fingerprint.
The beneficial effects of the above technical scheme are: collecting the corresponding biological characteristics of the fingerprint, carrying out living body fingerprint authentication identification by using the biological characteristics, and distinguishing the living body fingerprint from the fingerprint mold, wherein the biological characteristic identification has safety, reliability and accuracy; the living fingerprint and the fingerprint mold are respectively adopted as fingerprint input objects, so that the fingerprint chip repeatedly collects the biological characteristics corresponding to the fingerprint for multiple times, the biological characteristics corresponding to the fingerprint are collected for multiple times, the judgment error caused by accidental detection is avoided, and the detection result is more accurate.
In another embodiment, the S101 includes:
s1011: the fingerprint chip collects a fingerprint image in the process of collecting the fingerprint;
s1012: analyzing the fingerprint image, and acquiring fingerprint data characteristics according to the analysis of the fingerprint image; the fingerprint data features include: fingerprint line shape characteristic, fingerprint line definition characteristic and fingerprint line thickness characteristic;
s1013: detecting a biological characteristic corresponding to a fingerprint image based on a biological sensor in the fingerprint chip;
s1014: storing the fingerprint data characteristics and the biological characteristics in a fingerprint information database as a judgment standard for judging whether the fingerprint passes or not;
s1015: and classifying the fingerprint data characteristics and the biological characteristics in the fingerprint information database according to the classification mode of the living fingerprints and the fingerprint molds.
The working principle of the technical scheme is as follows: firstly, inputting a living fingerprint into a fingerprint identification system in a fingerprint chip, acquiring and extracting biological characteristics and fingerprint image data corresponding to the fingerprint, and recording the extracted biological characteristics and fingerprint image data corresponding to the fingerprint into a fingerprint information database; and respectively inputting the fingerprints of the living body fingerprint and the fingerprint mold, acquiring and extracting the biological characteristics and the fingerprint image data corresponding to the fingerprints, matching the biological characteristics and the fingerprint image data corresponding to the fingerprints recorded in the fingerprint information database, and classifying according to the matching result. The fingerprint data characteristics of the fingerprint recorded by the fingerprint information database are consistent with those of the living body fingerprint and the fingerprint mold.
The beneficial effects of the above technical scheme are: the fingerprint image recorded by the fingerprint information database is high in quality, and the image with low quality can be directly eliminated, so that the fingerprint data is ensured to be more refined and the processing time of the system for matching the fingerprint data characteristics is shortened; the fingerprint recorded by the fingerprint information database is consistent with the fingerprint data characteristics of the living body fingerprint and the fingerprint mold, and the detection result is obtained by one-to-one matching, so that the matching speed is increased, and the detection time is saved.
In another embodiment, the acquiring the biometric feature corresponding to the fingerprint in S101 includes:
collecting the blood oxygen content corresponding to the fingerprint;
collecting skin impedance characteristics corresponding to fingerprints;
collecting pulse blood pressure corresponding to the fingerprint;
collecting finger veins corresponding to the fingerprints;
fingerprint activity is detected by collecting the biological characteristics.
The working principle of the technical scheme is as follows: the biological characteristics corresponding to the fingerprint comprise blood oxygen content, skin impedance characteristics, pulse blood pressure and finger veins corresponding to the collected fingerprint, and the fingerprint activity is detected by collecting the biological characteristics.
The beneficial effects of the above technical scheme are: detecting a fingerprint by using the identification biological characteristics, wherein the detected fingerprint can be shown to be a living body with vital signs or a non-living body without vital signs; if the detected fingerprint acquires the biological characteristics and the extracted fingerprint data characteristics are matched with the fingerprint data characteristics of the fingerprint information database, the detected person with the vital characteristics is shown, a fraud means of identity verification by using a false fingerprint is avoided, and the identity verification by fingerprint detection is safer and more reliable.
In another embodiment, the S103 includes:
s1031: inputting a living fingerprint for detection; if the biological characteristics are extracted, the fingerprint image is verified to belong to a living body, and enhancement and refinement processing are carried out on the fingerprint image;
s1032: comparing the fingerprint data characteristics corresponding to the fingerprint image with the data characteristics stored in a fingerprint information database, and if the data characteristics are consistent in comparison, detecting to pass; recording the number of detection passes;
s1033: if the biological features are not extracted during detection or the comparison between the fingerprint data features and the fingerprint information database is inconsistent after the biological features are extracted, the detection fails; recording the number of times of verification failure;
s1034: the setting mode of the first preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 98% of the total detection times as a first preset threshold;
s1035: and if the number of times that the live fingerprints pass is lower than a first preset threshold, determining that the live fingerprints pass is inferior, and if the number of times that the live fingerprints pass is higher than or equal to the first preset threshold, performing the next step, namely detecting the same fingerprint chip through a fingerprint die.
The working principle of the technical scheme is as follows: inputting a living fingerprint for detection, verifying that the fingerprint belongs to a living body if the biological characteristics are extracted, and enhancing and refining the fingerprint image; comparing the fingerprint data characteristics corresponding to the fingerprint image with the data characteristics stored in a fingerprint information database, and if the data characteristics are consistent in comparison, detecting to pass; recording the number of detection passes; when the biological characteristics are not extracted during detection or the comparison between the fingerprint data characteristics and the fingerprint information database is inconsistent after the biological characteristics are extracted, the detection fails; the number of authentication failures is recorded. The setting mode of the first preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 98% of the total detection times as a first preset threshold; and if the number of times that the live fingerprints pass is lower than a first preset threshold, determining that the live fingerprints pass is inferior, and if the number of times that the live fingerprints pass is higher than or equal to the first preset threshold, performing the next step, namely detecting the same fingerprint chip through a fingerprint die.
The beneficial effects of the above technical scheme are: the fingerprint image is enhanced and refined, so that accurate fingerprint data characteristic minutiae can be extracted, more identical points are matched with the data characteristics stored in the fingerprint information database in a contrast manner, and the matching success rate is higher; the preset threshold value is set and N detection processes are carried out, so that the fingerprint chip can be judged more accurately, the judgment error caused by accidental detection is avoided, and the detection result is more accurate.
In another embodiment, the S104 includes:
s1041: inputting a fingerprint mold for detection;
s1042: if the biological features are not extracted, the detection is passed; recording the number of detection passes;
s1043: if the biological characteristics are extracted, the detection fails; recording the detection failure times;
s1044: the setting mode of the second preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 99.9% of the total detection times as a second preset threshold;
s1045: and if the number of times of passing the live fingerprints is lower than a second preset threshold value, determining that the product is defective, and if the number of times of passing the live fingerprints is higher than or equal to the second preset threshold value, determining that the product is good.
The working principle of the technical scheme is as follows: inputting a fingerprint mold for detection; if the biological features are not extracted, the detection is passed; recording the number of detection passes; if the biological characteristics are extracted, the detection fails; recording the detection failure times; the setting mode of the second preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 99.9% of the total detection times as a second preset threshold; and if the number of times that the living body fingerprints pass is lower than a second preset threshold value, determining that the living body fingerprints pass is inferior, and if the number of times that the living body fingerprints pass is equal to the second preset threshold value, determining that the living body fingerprints pass is good.
The beneficial effects of the above technical scheme are: the living fingerprint and the non-living fingerprint can be accurately distinguished by utilizing the biological characteristics; the preset threshold value is set and N detection processes are carried out, so that the fingerprint chip can be judged more accurately, the judgment error caused by accidental detection is avoided, and the detection result is more accurate.
In another embodiment, a fingerprint chip detection and good product identification system includes:
the first acquisition unit 601 is used for inputting the fingerprint chip, acquiring biological characteristics and fingerprint data characteristics corresponding to the fingerprint, and detecting the fingerprint chip after acquiring the biological characteristics and the fingerprint data characteristics;
the second collecting unit 602 is configured to use the live fingerprint and the fingerprint mold as fingerprint input objects, so that the fingerprint chip repeatedly collects biological characteristics corresponding to the fingerprint;
a first determining unit 603, configured to, when a live fingerprint is an input object, determine that a fingerprint chip is a defective product if the fingerprint chip acquires a biometric feature of a certain fingerprint and the number of times that the fingerprint passes through is lower than a first preset threshold;
the second determining unit 604 is configured to, when the fingerprint mold is used as an input object, determine that the fingerprint chip is good if the fingerprint chip collects a biometric feature of a certain fingerprint and the number of times that the fingerprint passes through is greater than or equal to a second preset threshold.
The working principle of the technical scheme is as follows: fingerprint chip detects and non-defective products identification system includes: the device comprises a first acquisition unit, a second acquisition unit, a first judgment unit and a second judgment unit; the first acquisition unit is used for inputting the fingerprint chip, acquiring biological characteristics and fingerprint data characteristics corresponding to the fingerprint, and detecting the fingerprint chip after acquiring the biological characteristics and the fingerprint data characteristics; the second acquisition unit is used for respectively adopting the living fingerprint and the fingerprint die as fingerprint input objects, so that the fingerprint chip repeatedly acquires the biological characteristics corresponding to the fingerprint; the fingerprint identification device comprises a first judgment unit, a second judgment unit and a third judgment unit, wherein the first judgment unit is used for judging that a fingerprint chip is a good product if the fingerprint chip acquires the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is not lower than a first preset threshold when the living fingerprint is taken as an input object; and the second judging unit is used for judging that the fingerprint chip is a defective product if the fingerprint chip collects the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is lower than a second preset threshold value when the fingerprint mold is taken as an input object.
The beneficial effects of the above technical scheme are: a first acquisition unit: collecting the corresponding biological characteristics of the fingerprint, carrying out living body fingerprint authentication identification by using the biological characteristics, and distinguishing the living body fingerprint from the fingerprint mold, wherein the biological characteristic identification has safety, reliability and accuracy; a second acquisition unit: the living fingerprint and the fingerprint mold are respectively adopted as fingerprint input objects, so that the fingerprint chip repeatedly collects the biological characteristics corresponding to the fingerprint for multiple times, the biological characteristics corresponding to the fingerprint are collected for multiple times, the judgment error caused by accidental detection is avoided, and the detection result is more accurate.
In another embodiment, the first acquisition unit includes:
the fingerprint image acquisition subunit is used for acquiring a fingerprint image in the process of acquiring a fingerprint by the fingerprint chip;
fingerprint image analysis subunit: the fingerprint image analysis device is used for analyzing the fingerprint image and acquiring fingerprint data characteristics according to the analysis of the fingerprint image; the fingerprint data features include: fingerprint line shape characteristic, fingerprint line definition characteristic and fingerprint line thickness characteristic;
biosensor detection subunit: the biological sensor used in the fingerprint chip detects the biological characteristics corresponding to the fingerprint image;
fingerprint information database subunit: the fingerprint data characteristic and the biological characteristic are used as judgment criteria for judging whether the fingerprint passes or not to be stored in a fingerprint information database;
a classification subunit: the fingerprint database is used for classifying the fingerprint data characteristics and the biological characteristics in the fingerprint information database according to the classification mode of the living fingerprints and the fingerprint molds.
The working principle of the technical scheme is as follows: the first acquisition unit includes: the fingerprint image acquisition sub-unit, the fingerprint image analysis unit, the biosensor detection unit, the fingerprint information database unit, the classification unit. The fingerprint image acquisition subunit is used for acquiring a fingerprint image in the process of acquiring a fingerprint by the fingerprint chip; fingerprint image analysis unit: the fingerprint image analysis device is used for analyzing the fingerprint image and acquiring fingerprint data characteristics according to the analysis of the fingerprint image; a biosensor detection unit: the biosensor used in the fingerprint chip detects the biological characteristics corresponding to the fingerprint image, which can show that the detected fingerprint is a living body with vital characteristics or a non-living body without vital signs, so that the detection result is more accurate and reliable; fingerprint information database unit: the fingerprint data characteristic and the biological characteristic are used as judgment criteria for judging whether the fingerprint passes or not to be stored in a fingerprint information database; a classification unit: the fingerprint database is used for classifying the fingerprint data characteristics and the biological characteristics in the fingerprint information database according to the classification mode of the living fingerprints and the fingerprint molds.
The fingerprint information database unit judges by matching fingerprint image data, wherein the judgment criterion is as follows: extracting a feature vector of the fingerprint image data, wherein inter-class dispersion and intra-class dispersion of the feature vector are factors for judging the separability analysis of the features, and the larger the inter-class dispersion is, the smaller the intra-class dispersion is, and the better the separability of the feature vector is. The fisher criterion is to calculate the trace of the scatter matrix as a criterion to reflect the class's partitionability. fisher criterion value JFThe larger the value of (b), the better the gradeability.
The fisher criterion is expressed as follows:
in the formula, N is the number of fingerprint samples, x is the feature vector, mu is the overall mean value, muiMean of the eigenvectors of the i-th sample, E is variance, PiIs the prior probability of class i sample, SbIs an inter-class scatter matrix, SwFor intra-class scatter matrices, tr is the trace of the matrix, JFIs the fisher criterion value.
The beneficial effects of the above technical scheme are: the biosensor detection unit identifies the biological characteristics by using the biosensor, and can show that the detected fingerprint is a living body with vital characteristics or a non-living body without vital signs, so that the detection result is more accurate and reliable; the fingerprint recorded by the fingerprint information database is consistent with the fingerprint data characteristics of the living body fingerprint and the fingerprint mold, and the detection result is obtained by one-to-one matching, so that the matching speed is increased, and the detection time is saved.
In another embodiment, the acquiring, by the first acquisition unit, the biometric characteristic corresponding to the fingerprint includes:
the blood oxygen content acquisition subunit is used for acquiring the blood oxygen content corresponding to the fingerprint;
the skin impedance acquisition subunit is used for acquiring skin impedance characteristics corresponding to the fingerprints;
the pulse blood pressure acquisition subunit is used for acquiring the pulse blood pressure corresponding to the fingerprint;
the finger vein acquisition subunit is used for acquiring finger veins corresponding to the fingerprints;
and the biological characteristic acquisition subunit is used for detecting fingerprint activity by acquiring the biological characteristics.
The working principle of the technical scheme is as follows: the first acquisition unit acquires the biological characteristics corresponding to the fingerprint, including blood oxygen content, skin impedance characteristics, pulse blood pressure and finger veins corresponding to the fingerprint, and detects fingerprint activity by acquiring the biological characteristics.
The beneficial effects of the above technical scheme are: detecting a fingerprint by using the identification biological characteristics, wherein the detected fingerprint can be shown to be a living body with vital signs or a non-living body without vital signs; if the detected fingerprint acquires the biological characteristics and the extracted fingerprint data characteristics are matched with the fingerprint data characteristics of the fingerprint information database, the detected person with the vital characteristics is shown, a fraud means of identity verification by using a false fingerprint is avoided, and the identity verification by fingerprint detection is safer and more reliable.
In another embodiment, the first determination unit includes:
living fingerprint detection subunit: the fingerprint detection device is used for inputting a living fingerprint for detection; if the biological characteristics are extracted, the fingerprint image is verified to belong to a living body, and enhancement and refinement processing are carried out on the fingerprint image;
live fingerprint first determination subunit: the fingerprint image processing device is used for comparing the fingerprint data characteristics corresponding to the fingerprint image with the data characteristics stored in the fingerprint information database, and if the data characteristics are consistent in comparison, the detection is passed; recording the number of detection passes;
second judgment subunit of living body fingerprint: the fingerprint detection device is used for detecting whether the biological characteristics are not extracted during detection or whether the comparison between the fingerprint data characteristics and the fingerprint information database is inconsistent after the biological characteristics are extracted, and then the detection fails; recording the number of times of verification failure;
a first preset threshold subunit: the setting mode for the first preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 98% of the total detection times as a first preset threshold;
a first determination subunit: and if the number of times that the living fingerprints pass is lower than a first preset threshold, determining that the living fingerprints are inferior, and if the number of times that the living fingerprints pass is higher than or equal to the first preset threshold, performing the next step, namely detecting the same fingerprint chip through the fingerprint die.
The working principle of the technical scheme is as follows: the first determination unit includes: the living body fingerprint detection device comprises a living body fingerprint detection unit, a living body fingerprint first judgment subunit, a living body fingerprint second judgment subunit, a first preset threshold unit and a first judgment subunit. The living fingerprint detection unit is used for inputting a living fingerprint for detection; if the biological characteristics are extracted, the fingerprint image is verified to belong to a living body, and enhancement and refinement processing are carried out on the fingerprint image; the living fingerprint first judgment subunit is used for comparing the fingerprint data characteristics corresponding to the fingerprint image with the data characteristics stored in the fingerprint information database, and if the data characteristics are consistent, the living fingerprint first judgment subunit passes the detection; recording the number of detection passes; the living fingerprint second judgment subunit is used for failing detection if the biological features are not extracted during detection or the comparison between the fingerprint data features and the fingerprint information database is inconsistent after the biological features are extracted; recording the number of times of verification failure; the setting mode of the first preset threshold unit for the first preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 98% of the total detection times as a first preset threshold; the first judging subunit is used for eliminating the defective product if the number of times that the live fingerprints pass is lower than a first preset threshold, and carrying out the next step, namely detecting the same fingerprint chip by the fingerprint mold, if the number of times that the live fingerprints pass is higher than or equal to the first preset threshold. The fingerprint chip enters the second judgment unit through the first preset threshold value.
The beneficial effects of the above technical scheme are: the fingerprint image is enhanced and refined, so that accurate fingerprint data characteristic minutiae can be extracted, more identical points are matched with the data characteristics stored in the fingerprint information database in a contrast manner, and the matching success rate is higher; the preset threshold value is set and N detection processes are carried out, so that the fingerprint chip can be judged more accurately, the judgment error caused by accidental detection is avoided, and the detection result is more accurate.
In another embodiment, the second determination unit includes:
the mould fingerprint detection subunit: the fingerprint detection device is used for inputting a fingerprint mold for detection;
a first judging subunit of the mold fingerprint: the detection is passed if the biological features are not extracted; recording the number of detection passes;
the second judging stator unit of the die fingerprint: the detection is failed if the biological features are extracted; recording the detection failure times;
a second preset threshold subunit: the setting mode for the second preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 99.9% of the total detection times as a second preset threshold;
a second determining unit: and if the number of times of passing the live fingerprints is lower than a second preset threshold value, determining that the product is defective, and if the number of times of passing the live fingerprints is higher than or equal to the second preset threshold value, determining that the product is good.
The working principle of the technical scheme is as follows: the second determination unit includes: the device comprises a mold fingerprint detection unit, a first mold fingerprint judgment subunit, a second preset threshold unit and a second judgment subunit. The die fingerprint detection unit is used for inputting a fingerprint die for detection; the first judging subunit of the mold fingerprint is used for passing the detection if the biological characteristics are not extracted; recording the number of detection passes; the second judging subunit of the mold fingerprint is used for detecting failure and recording the detection failure times if the biological characteristics are extracted; the setting mode of the second preset threshold unit for the second preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 99.9% of the total detection times as a second preset threshold; and the second judging subunit rejects the defective product if the number of times of passing the live fingerprints is lower than a first preset threshold, and rejects the defective product if the number of times of passing the live fingerprints is higher than or equal to a second preset threshold. And after the fingerprint chip is detected for N times, the fingerprint chip is higher than or equal to a first preset threshold and a second preset threshold at the same time and is determined to be a good product for packaging.
The yield P (AB) in a fixed time period can be calculated after the fingerprint chip is detected:
P(AB)＝P(B|A)P(A)
wherein, P (A) refers to the percentage of the passing times of the fingerprint chip after the fingerprint chip is subjected to N detections by the living body fingerprint to the total detection times, and P (B | A) refers to the percentage of the passing times of the fingerprint chip after the fingerprint chip is subjected to the living body fingerprint detection and then is subjected to the N detections by the die fingerprint to the total detection times.
The beneficial effects of the above technical scheme are: the living fingerprint and the non-living fingerprint can be accurately distinguished by utilizing the biological characteristics; the preset threshold value is set and N detection processes are carried out, so that the fingerprint chip can be judged more accurately, the judgment error caused by accidental detection is avoided, and the detection result is more accurate.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A fingerprint chip detection and good product identification method is characterized by comprising the following steps:
s101: accessing a fingerprint chip into a fingerprint identification system, so that the fingerprint chip acquires a biological characteristic corresponding to a fingerprint in the process of acquiring the fingerprint;
s102: respectively adopting the living fingerprint and the fingerprint mold as fingerprint input objects, and enabling the fingerprint chip to repeatedly acquire biological characteristics corresponding to the fingerprints;
s103: when the living fingerprint is taken as an input object, if the fingerprint chip acquires the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is lower than a first preset threshold value, the fingerprint chip is judged to be a defective product;
s104: when the fingerprint mold is used as an input object, if the fingerprint chip collects the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is higher than or equal to a second preset threshold value, the fingerprint chip is judged to be a good product.
2. The fingerprint chip detecting and good product identifying method as claimed in claim 1, wherein said S101 comprises:
s1011: the fingerprint chip collects a fingerprint image in the process of collecting the fingerprint;
s1012: analyzing the fingerprint image, and acquiring fingerprint data characteristics according to the analysis of the fingerprint image; the fingerprint data features include: fingerprint line shape characteristic, fingerprint line definition characteristic and fingerprint line thickness characteristic;
s1013: detecting a biological characteristic corresponding to a fingerprint image based on a biological sensor in the fingerprint chip;
s1014: storing the fingerprint data characteristics and the biological characteristics in a fingerprint information database as a judgment standard for judging whether the fingerprint passes or not;
s1015: and classifying the fingerprint data characteristics and the biological characteristics in the fingerprint information database according to the classification mode of the living fingerprints and the fingerprint molds.
3. The method for detecting and identifying a non-defective fingerprint chip as claimed in claim 1, wherein the step of collecting the biometric characteristic corresponding to the fingerprint in step S101 comprises:
collecting the blood oxygen content corresponding to the fingerprint;
collecting skin impedance characteristics corresponding to fingerprints;
collecting pulse blood pressure corresponding to the fingerprint;
collecting finger veins corresponding to the fingerprints;
fingerprint activity is detected by collecting the biological characteristics.
4. The fingerprint chip detecting and good product identifying method of claim 1, wherein the step S103 comprises:
s1031: inputting a living fingerprint for detection; if the biological characteristics are extracted, the fingerprint image is verified to belong to a living body, and enhancement and refinement processing are carried out on the fingerprint image;
s1032: comparing the fingerprint data characteristics corresponding to the fingerprint image with the data characteristics stored in a fingerprint information database, and if the data characteristics are consistent in comparison, detecting to pass; recording the number of detection passes;
s1033: if the biological features are not extracted during detection or the comparison between the fingerprint data features and the fingerprint information database is inconsistent after the biological features are extracted, the detection fails; recording the number of times of verification failure;
s1034: the setting mode of the first preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 98% of the total detection times as a first preset threshold;
s1035: and if the number of times that the live fingerprints pass is lower than a first preset threshold, determining that the live fingerprints pass is inferior, and if the number of times that the live fingerprints pass is higher than or equal to the first preset threshold, performing the next step, namely detecting the same fingerprint chip through a fingerprint die.
5. The fingerprint chip detecting and good product identifying method as claimed in claim 1, wherein the S104 comprises:
s1041: inputting a fingerprint mold for detection;
s1042: if the biological characteristics are not extracted, the detection is passed, and the number of times of passing detection is recorded;
s1043: if the biological characteristics are extracted, the detection fails, and the detection failure times are recorded;
s1044: the setting mode of the second preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 99.9% of the total detection times as a second preset threshold;
s1045: and if the number of times that the living body fingerprints pass is lower than a second preset threshold value, determining that the living body fingerprints pass is inferior, and if the number of times that the living body fingerprints pass is equal to the second preset threshold value, determining that the living body fingerprints pass is good.
6. The utility model provides a fingerprint chip detects and yields identification system which characterized in that includes:
the first acquisition unit is used for inputting the fingerprint chip, acquiring biological characteristics and fingerprint data characteristics corresponding to the fingerprint, and detecting the fingerprint chip after acquiring the biological characteristics and the fingerprint data characteristics;
the second acquisition unit is used for respectively adopting the living fingerprint and the fingerprint die as fingerprint input objects, so that the fingerprint chip repeatedly acquires the biological characteristics corresponding to the fingerprint;
the fingerprint identification device comprises a first judgment unit, a second judgment unit and a third judgment unit, wherein the first judgment unit is used for judging that a fingerprint chip is a defective product if the fingerprint chip acquires the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is lower than a first preset threshold when the living fingerprint is taken as an input object;
and the second judgment unit is used for judging that the fingerprint chip is a good product if the fingerprint chip collects the biological characteristics of a certain fingerprint and the passing frequency of the fingerprint is higher than or equal to a second preset threshold value when the fingerprint mold is taken as an input object.
7. The fingerprint chip detecting and good product identifying system of claim 6, wherein the first collecting unit comprises:
the fingerprint image acquisition subunit is used for acquiring a fingerprint image in the process of acquiring a fingerprint by the fingerprint chip;
fingerprint image analysis subunit: the fingerprint image analysis device is used for analyzing the fingerprint image and acquiring fingerprint data characteristics according to the analysis of the fingerprint image; the fingerprint data features include: fingerprint line shape characteristic, fingerprint line definition characteristic and fingerprint line thickness characteristic;
biosensor detection subunit: the biological sensor used in the fingerprint chip detects the biological characteristics corresponding to the fingerprint image;
fingerprint information database subunit: the fingerprint data characteristic and the biological characteristic are used as judgment criteria for judging whether the fingerprint passes or not to be stored in a fingerprint information database;
a classification subunit: the fingerprint database is used for classifying the fingerprint data characteristics and the biological characteristics in the fingerprint information database according to the classification mode of the living fingerprints and the fingerprint molds.
8. The fingerprint chip detecting and good product identifying system of claim 6, wherein the first collecting unit collecting the corresponding biometric feature of the fingerprint comprises:
the blood oxygen content acquisition subunit is used for acquiring the blood oxygen content corresponding to the fingerprint;
the skin impedance acquisition subunit is used for acquiring skin impedance characteristics corresponding to the fingerprints;
the pulse blood pressure acquisition subunit is used for acquiring the pulse blood pressure corresponding to the fingerprint;
the finger vein acquisition subunit is used for acquiring finger veins corresponding to the fingerprints;
and the biological characteristic acquisition subunit is used for detecting fingerprint activity by acquiring the biological characteristics.
9. The fingerprint chip detecting and good product identifying system of claim 6, wherein the first determining unit comprises:
living fingerprint detection subunit: the fingerprint detection device is used for inputting a living fingerprint for detection; if the biological characteristics are extracted, the fingerprint image is verified to belong to a living body, and enhancement and refinement processing are carried out on the fingerprint image;
live fingerprint first determination subunit: the fingerprint image processing device is used for comparing the fingerprint data characteristics corresponding to the fingerprint image with the data characteristics stored in the fingerprint information database, and if the data characteristics are consistent in comparison, the detection is passed; recording the number of detection passes;
second judgment subunit of living body fingerprint: the fingerprint detection device is used for detecting whether the biological characteristics are not extracted during detection or whether the comparison between the fingerprint data characteristics and the fingerprint information database is inconsistent after the biological characteristics are extracted, and then the detection fails; recording the number of times of verification failure;
a first preset threshold subunit: the setting mode for the first preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 98% of the total detection times as a first preset threshold;
a first determination subunit: and if the number of times that the living fingerprints pass is lower than a first preset threshold, determining that the living fingerprints pass is inferior, and if the number of times that the living fingerprints pass is higher than or equal to the first preset threshold, determining that the next step is performed, namely, detecting the same fingerprint chip through the fingerprint die.
10. The fingerprint chip detecting and good product identifying system of claim 6, wherein the second determining unit comprises:
the mould fingerprint detection subunit: the fingerprint detection device is used for inputting a fingerprint mold for detection;
a first judging subunit of the mold fingerprint: the detection is passed if the biological features are not extracted; recording the number of detection passes;
the second judging stator unit of the die fingerprint: the detection is failed if the biological features are extracted; recording the detection failure times;
a second preset threshold subunit: the setting mode for the second preset threshold includes: carrying out N detection processes on the fingerprint chip, and setting a numerical value corresponding to the detection passing times accounting for 99.9% of the total detection times as a second preset threshold;
a second determining unit: and if the number of times that the living body fingerprints pass is lower than a second preset threshold value, determining that the living body fingerprints pass is inferior, and if the number of times that the living body fingerprints pass is equal to the second preset threshold value, determining that the living body fingerprints pass is good.
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