CN110399786A - A kind of noninductive recognition methods and system - Google Patents
A kind of noninductive recognition methods and system Download PDFInfo
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Abstract
The present invention relates to noninductive identification fields, and in particular to a kind of noninductive recognition methods and system.A kind of noninductive recognition methods, comprising steps of the biological characteristic of identification user, obtains user information；And identify external appearance characteristic, organoleptic feature, chemical attribute feature or the placement position of object, obtain object information；Corresponding user and object are bound according to user information and object information, and stored.The present invention is by designing noninductive recognition methods and system, automatic identification user information and object information, and corresponding user and object are bound, and it stores, it realizes Weigh sensor, gets rid of the predicament of existing single identification, improve user experience, recognition efficiency is improved, the artificial cost for participating in identification is substantially reduced.
Description
Technical field
The present invention relates to noninductive identification fields, and in particular to a kind of noninductive recognition methods and system.
Background technique
Noninductive identification, it is noninductive to understand from literal completely, it is exactly not feel, has few feeling in other words.Such as
Noninductive payment allows and pays link complete second (can be regarded as within 1-2 seconds a noninductive standard), not as an independent ring
Section occurs, the specialized operations movement not occurred for payment.
Noninductive identification technology it is highly developed, but due to or innovative techniques, application there are also to be excavated, perfect,
For example, quickly identifying object or the information of user for according to noninductive identification, single identifying schemes are but belonged to, as parking lot is known
Other vehicle license plate, or reach a standard and automaticly inspect identification user's face and fingerprint.
But the enforceable range of above scheme is limited, cannot more preferably realize noninductive identification comprehensively, such as when purchase thing
When, noninductive payment can be realized in payment, but product still needs to carry out manually to scan one by one；Such as work is built when entering
When ground, staff list can be obtained by fingerprint or recognition of face, but for whether wearing the helmet, spe-cial-purpose uniform also needs pipe
The inspection one by one of reason person.
Summary of the invention
The technical problem to be solved in the present invention is that in view of the above drawbacks of the prior art, providing a kind of noninductive identification side
Method and system, the enforceable range for solving single noninductive identification is limited, the low problem of intelligent operation.
The technical solution adopted by the present invention to solve the technical problems is: providing a kind of noninductive recognition methods, feature exists
In comprising steps of the biological characteristic of identification user, obtains user information；And identify the external appearance characteristic of object, organoleptic feature,
Chemical attribute feature or placement position obtain object information；According to user information and object information by corresponding user and object
Body is bound, and is stored.
Wherein, preferred version is: the biological characteristic include fingerprint characteristic, face as feature, skin characteristic, gait feature,
Iris feature, vein pattern, retinal feature, palm geometric features, sound characteristic, signature feature and hand-shaped characteristic.
Wherein, preferred version is to obtain at least one biological characteristic that user information further comprises the steps of: identification user, root
It is compared according to the data of prestoring, obtains similarity highest or reaches user information of the data of preset threshold as the user.
Wherein, preferred version is: the external appearance characteristic includes contour feature, text picture feature, color character, coding spy
It seeks peace numbered features；The organoleptic feature includes odor characteristics, temperature profile, Humidity Features and weight characteristics.
Wherein, preferred version is to obtain object information to further comprise the steps of: at least one external appearance characteristic of identification object, sense
Official's feature or chemical attribute feature, are compared according to the data of prestoring, and obtain similarity highest or reach the data of preset threshold
Object information as the object.
Wherein, preferred version is in acquisition object information, which further comprises the steps of:, is preset with object corresponding to different location region
Body information identifies the band of position of the object, obtains corresponding object information.
Wherein, preferred version is, the noninductive recognition methods comprising steps of identification user biological characteristic, obtain user
Information；And external appearance characteristic, organoleptic feature or the chemical attribute feature of object entrained by identification user, obtain object information；Root
Corresponding user and object are bound according to user information and object information, and stored.
Wherein, preferred version is further comprised the steps of: according to preset carrying rule, captures the position of object entrained by user
It sets；It identifies external appearance characteristic, organoleptic feature or the chemical attribute feature of the object of position, obtains object information.
The technical solution adopted by the present invention to solve the technical problems is: providing a kind of noninductive identifying system, feature exists
In, comprising: first acquisition unit obtains the biological characteristic of user；Second acquisition unit obtains external appearance characteristic, the sense organ of object
Feature, chemical attribute feature or placement position；Recognition unit identifies the biological characteristic of user, and the appearance spy of identification object
Sign, organoleptic feature, chemical attribute feature or placement position；Processing unit obtains user information according to the biological characteristic of user,
And according to the external appearance characteristic of object, organoleptic feature, chemical attribute feature or placement position, obtain object information；And according to
User information and object information bind corresponding user and object, and store.
Wherein, preferred version is: the noninductive identifying system includes a video camera, using as first acquisition unit and second
Acquiring unit, to obtain the image information of user and the image information of object；Alternatively, the noninductive identifying system includes two camera shootings
Machine, respectively as first acquisition unit and second acquisition unit, to obtain the image information of user and the image letter of object respectively
Breath.
The beneficial effects of the present invention are, compared with prior art, the present invention, which passes through, designs noninductive recognition methods and system,
Automatic identification user information and object information, and corresponding user and object are bound, and stores, realize intelligent knowledge
, do not get rid of the predicament of existing single identification, improve user experience, improve recognition efficiency, substantially reduce it is artificial participate in identification at
This.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is the flow diagram of the noninductive recognition methods of the present invention；
Fig. 2 is the flow diagram that the present invention obtains user information；
Fig. 3 is the flow diagram that the present invention obtains object information；
Fig. 4 is the flow diagram of the acquisition object information the present invention is based on the band of position；
Fig. 5 is the structural schematic diagram of the noninductive identifying system of the present invention.
Specific embodiment
Now in conjunction with attached drawing, elaborate to presently preferred embodiments of the present invention.
As shown in Figure 1, the present invention provides the preferred embodiment of noninductive recognition methods.
A kind of noninductive recognition methods, comprising steps of
Step S111, the biological characteristic of user is identified；
Step S112, user information is obtained；
And step S121, identify external appearance characteristic, organoleptic feature, chemical attribute feature or the placement position of object；
Step S122, object information is obtained；
Step S130, corresponding user and object are bound according to user information and object information, and stored.
Wherein, each individual have can uniquely measure or can automatic identification and verifying physiological property or behavior side
Formula, i.e. biological characteristic.It can be divided into physiological characteristic (such as fingerprint, image surface, iris, palmmprint) and behavioural characteristic (such as gait, sound
Sound, person's handwriting etc.).The identification of biological characteristic be exactly according to it is each individual between unique biological characteristic it is carried out identification with
The certification of identity.
Wherein, external appearance characteristic refers to the general performance of the external moulding of object, pattern, color, structure, size etc..
Organoleptic feature is a kind of impression experience of outer bound pair object, such as it is believed that eye, ear, nose, tongue, the body etc. of user remove object
Feeling definition outside appearance.Chemical attribute is characterized in that chemical property is the property that substance shows in chemical change, such as institute
Belong to the chemical properties of material classification: acidity, alkalinity, oxidisability, reproducibility, thermal stability and some other characteristics.Placement position
The information of one object of definition is gone according to predeterminable area position, then,
In the present embodiment, about step S121 step 122, identify that the external appearance characteristic of object entrained by user, sense organ are special
Sign or chemical attribute feature obtain object information.Still further, capturing object entrained by user according to preset carrying rule
The position of body；It identifies external appearance characteristic, organoleptic feature or the chemical attribute feature of the object of position, obtains object information.
Wherein, the rule that carries refers to: with " user " body with object, be such as worn on, or hand-held object
Body, the object also such as pulled, also such as in a certain range of user, existing all objects.It is specific to need according on the spot
Environment or it is specified require, be adjusted the carryings rule, required with meeting various different identifications, combine identification accurately
Property.
Capture equipment, such as video camera are first passed through, the position of object entrained by user is captured, specific catching range can refer to
It states and carries range specified by rule, and in the specific location for identifying the object.For example, being arranged more in a space
A video camera around three-dimensional shooting user, and obtains all luggage entrained by user, and as acquisition target.For another example adopting
Integrate object as the coding on user's clothing, by a camera, obtains the coding worn clothes on a certain specific region.
In the present embodiment, and Fig. 2 is referred to, the preferred version for obtaining user information is provided.
The biological characteristic includes fingerprint characteristic, face as feature, skin characteristic, gait feature, iris feature, vein are special
Sign, retinal feature, palm geometric features, sound characteristic, signature feature and hand-shaped characteristic.Wherein, fingerprint recognition is complete
Ball major part national government receives and approves, has been widely applied to government, army, bank, welfare, e-commerce
With the fields such as safety guard；Face is used for facial recognition techniques, including two aspect of face recognition and face authenticating as feature；Skin is special
Infrared light by being shone into a fritter skin and confirming the identity of people by the reflected light wavelength of measurement by sign；Gait feature is each
People lives in an identical manner, there is signal or fingerprint that oneself is single-minded, such as to one's name single-minded paces of walking；Iris feature
Structure is unique, does not have heredity, and from after childhood, just no longer changes substantially；Vein pattern is people's vein distribution map
Performance；Retinal feature is the blood cell layer of eye bottom, it is " hiding ", so can not be worn, aging
Deng influence；Palm geometric features are the palm of user and the physical features of finger；Sound characteristic is the acoustic characteristic issued；
Signature is characterized in the Wrist-sport of leisure a kind of, when idiograph pen holding posture, habit of wieling the pen, exert oneself in terms of have
Oneself the characteristics of；Hand-shaped characteristic is the geometric figure that the exterior contour of hand is constituted.
And it obtains user information and further comprises the steps of:
Step S21, at least one biological characteristic of user is identified；
Step S22, basis prestores data and is compared；
Step S23, it obtains similarity highest or reaches user information of the data of preset threshold as the user.
Specifically, by acquiring equipment, such as video camera, scanner, microphone, corresponding biological characteristic is obtained, can be
Improve is by order of accuarcy, using a variety of biological characteristic modes of identification user.Each user and corresponding at least one
Biological characteristic should be collected, record, and formation prestores data, in practical identification process, first acquire and carry out again with the data that prestores
Comparison, and reaches predeterminable level in the similarity of comparison, is considered as user and kisses with the user information in the data placed on record
It closes, and by active user and the material matches, user information of the data as the user.
For example, carrying out face as the acquisition of feature and iris feature, such as characteristic of the facial image of extraction using video camera
Scan for matching according to the feature templates stored in database, by set a threshold value, when similarity be more than this threshold value,
The result that then matching is obtained exports, recognition of face be exactly by face characteristic to be identified and obtained skin detection into
Row compares, and is judged according to identity information of the similarity degree to face.Such as extracted from iris image using specific algorithm
Characteristic point needed for iris recognition out, and it is encoded, the rainbow in feature coding and database that feature extraction is obtained
Film image feature coding matches one by one, judges whether it is identical iris, to achieve the purpose that identification.Certainly, face is acquired
As feature and the video camera of iris feature, two kinds of dedicated video cameras can be used and carry out, a multipurpose acquisition camera can also be used
It carries out.
In the present embodiment, and Fig. 3 is referred to, the preferred version for obtaining object information is provided.
The external appearance characteristic includes contour feature, text picture feature, color character, coding characteristic and numbered features；Institute
Stating organoleptic feature includes odor characteristics, temperature profile, Humidity Features and weight characteristics.Wherein, contour feature refers to object edge, object
The periphery of body or the outline border of figure；Text picture feature is to meet the image recognition technology spy collected of specific character or picture
Sign；Color character refers to color color and corresponding pattern entrained by object；Coding characteristic is preferably to one-dimension code, two dimensional code etc.
Specific coding；Numbered features refer to the code character of the specific meaning of reflection about specific character numerical chracter composition.Wherein, smell is special
Sign refers to the unique smell that object itself distributes, and distributes in air and is collected；Temperature profile, Humidity Features and weight characteristics
It is just expressed with itself, the feature representated by the meanings such as temperature, humidity, weight.Wherein, about chemical attribute spy
Sign, i.e. chemical property, are the property that substance shows in chemical change, such as the chemical properties of affiliated material classification: acid,
Alkalinity, oxidisability, reproducibility, thermal stability and some other characteristics, chemical property and chemical change are that any substance institute is intrinsic
Characteristic, such as this substance of oxygen, having combustion-supporting property is its chemical property；Chemical reaction generation can occur with hydrogen for oxygen simultaneously
Water is its chemical property.
And it obtains object information and further comprises the steps of:
Step S31, at least one external appearance characteristic, organoleptic feature or the chemical attribute feature of object are identified；
Step S32, basis prestores data and is compared；
Step S33, it obtains similarity highest or reaches object information of the data of preset threshold as the object.
Specifically, by acquisition equipment or detection device, such as video camera, scanner, microphone, body temperature measurer, humidity
Sensor etc. obtains corresponding external appearance characteristic, organoleptic feature or chemical attribute feature, in order to improve is adopted by order of accuarcy
With various appearances feature, organoleptic feature or the chemical attribute feature mode of identification user.Each object or each type objects have
Have its individually unique external appearance characteristic, organoleptic feature or chemical attribute feature, or by various appearances feature, organoleptic feature or
Chemical attribute feature removes one independent unique object of reflection or a type objects, and should be collected, record, and formation prestores money
Material, it is consistent with above-mentioned user information in practical identification process, it no longer describes one by one herein.
For example, the contour feature or coding characteristic of object that acquisition user holds, by contour feature obtain it is registered
The object information of case obtains corresponding object information alternatively, directly scanning the two dimensional code on object.
In the present embodiment, and Fig. 5 is referred to, a kind of preferred version of noninductive identifying system is provided.
A kind of noninductive identifying system, including first acquisition unit, second acquisition unit, recognition unit and processing unit, the
The biological characteristic of one acquiring unit acquisition user；External appearance characteristic, organoleptic feature, the chemical attribute of second acquisition unit acquisition object
Feature or placement position；Recognition unit identifies the biological characteristic of user, and external appearance characteristic, the organoleptic feature, change of identification object
Learn attributive character or placement position；Processing unit obtains user information according to the biological characteristic of user, and according to object
External appearance characteristic, organoleptic feature, chemical attribute feature or placement position obtain object information, and according to user information and object
Information binds corresponding user and object, and stores.
Specific workflow is matched with noninductive recognition methods, is no longer described one by one herein.
Wherein, the recognition unit and processing unit can be two application specific processors, also can integrate in a processor, lead to
The recognizer and Processing Algorithm that processor is installed are crossed, to realize identification and processing operation.Processor is from memory or high speed
Instruction is taken out in buffer storage, is put into command register, and to Instruction decoding.It is Command Resolution at a series of micro- behaviour
Make, then issue various control commands, execute microoperation series, to complete the execution of an instruction.Recognizer is to be directed to
Algorithm corresponding to different characteristic, such as face recognition algorithms refer to after detecting face and positioning facial key feature points,
Main human face region can be cut out, and after pretreatment, the recognizer of feed-in rear end, recognizer has been wanted
It is compared at the extraction of face characteristic, and with the known face of inventory, completes final classification.And Processing Algorithm, that is, compare
Processing Algorithm, such as recognition of face, the feature templates stored in the characteristic and database of the facial image of extraction scan for
Matching, by setting a threshold value, when similarity is more than this threshold value, then result matching obtained is exported.
In the present embodiment, the noninductive identifying system includes a video camera, to obtain as first acquisition unit and second
Unit is taken, to obtain the image information of user and the image information of object；Alternatively, the noninductive identifying system includes two camera shootings
Machine, respectively as first acquisition unit and second acquisition unit, to obtain the image information of user and the image letter of object respectively
Breath.
As shown in figure 4, the present invention provides the preferred embodiment for obtaining object information.
Object information is obtained to further comprise the steps of:
Step S41, it is preset with object information corresponding to different location region；
Step S42, the band of position of the object is identified；
Step S43, the object information corresponding to acquisition.
Specifically, object information matches the initial position of each object with itself, and is obtained by video camera each
The state of object matches the user information of the user with the object information for the object taken if being taken by known users.
Wherein, video camera must have the function of step object and its movement, first register the corresponding band of position and by institute
The object information in corresponding position region is recorded, and the database of the two is established, consequently facilitating subsequent capture, pairing.
As described above, only preferred embodiment is not intended to limit the scope of the present invention, Fan Yibenfa
Equivalent change or modification made by bright claim is all that the present invention is covered.
Claims (10)
1. a kind of noninductive recognition methods, which is characterized in that comprising steps of
It identifies the biological characteristic of user, obtains user information；
And identify external appearance characteristic, organoleptic feature, chemical attribute feature or the placement position of object, obtain object information；
Corresponding user and object are bound according to user information and object information, and stored.
2. noninductive recognition methods according to claim 1, it is characterised in that: the biological characteristic includes fingerprint characteristic, face
As feature, skin characteristic, gait feature, iris feature, vein pattern, retinal feature, palm geometric features, sound are special
Sign, signature feature and hand-shaped characteristic.
3. noninductive recognition methods according to claim 2, which is characterized in that obtain user information and further comprise the steps of: identification
At least one biological characteristic of user, is compared according to the data of prestoring, and obtains similarity highest or reaches the money of preset threshold
Expect the user information as the user.
4. noninductive recognition methods according to claim 1, it is characterised in that: the external appearance characteristic includes contour feature, text
Word picture feature, color character, coding characteristic and numbered features；The organoleptic feature includes odor characteristics, temperature profile, humidity
Feature and weight characteristics.
5. noninductive recognition methods according to claim 4, which is characterized in that obtain object information and further comprise the steps of: identification
At least one external appearance characteristic, organoleptic feature or the chemical attribute feature of object, are compared according to the data of prestoring, and obtain similarity
Highest reaches object information of the data of preset threshold as the object.
6. noninductive recognition methods according to claim 1, which is characterized in that acquisition object information further comprises the steps of: default
There is object information corresponding to different location region, identify the band of position of the object, obtains corresponding object information.
7. noninductive recognition methods according to claim 1, which is characterized in that the noninductive recognition methods comprising steps of
It identifies the biological characteristic of user, obtains user information；
And external appearance characteristic, organoleptic feature or the chemical attribute feature of object entrained by identification user, obtain object information；
Corresponding user and object are bound according to user information and object information, and stored.
8. noninductive recognition methods according to claim 7, which is characterized in that further comprise the steps of:
According to preset carrying rule, the position of object entrained by user is captured；
It identifies external appearance characteristic, organoleptic feature or the chemical attribute feature of the object of position, obtains object information.
9. a kind of noninductive identifying system characterized by comprising
First acquisition unit obtains the biological characteristic of user；
Second acquisition unit obtains external appearance characteristic, organoleptic feature, chemical attribute feature or the placement position of object；
Recognition unit identifies the biological characteristic of user, and external appearance characteristic, the organoleptic feature, chemical attribute feature of identification object
Or placement position；
Processing unit obtains user information according to the biological characteristic of user, and according to the external appearance characteristic of object, organoleptic feature,
Chemical attribute feature or placement position obtain object information；And according to user information and object information by corresponding user
It is bound, and is stored with object.
10. noninductive identifying system according to claim 9, it is characterised in that: the noninductive identifying system includes a camera shooting
Machine, using as first acquisition unit and second acquisition unit, to obtain the image information of user and the image information of object；Or
Person, the noninductive identifying system includes two video cameras, respectively as first acquisition unit and second acquisition unit, to obtain respectively
The image information of user and the image information of object.
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Application publication date: 20191101 |
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