JP2005168627A - Personal identification apparatus - Google Patents

Personal identification apparatus Download PDF

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JP2005168627A
JP2005168627A JP2003410081A JP2003410081A JP2005168627A JP 2005168627 A JP2005168627 A JP 2005168627A JP 2003410081 A JP2003410081 A JP 2003410081A JP 2003410081 A JP2003410081 A JP 2003410081A JP 2005168627 A JP2005168627 A JP 2005168627A
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vein
fingerprint
data
personal identification
light source
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JP4410543B2 (en
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Mutsuhiko Horie
睦彦 堀江
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Mitsubishi Electric Corp
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Abstract

<P>PROBLEM TO BE SOLVED: To provide a personal identification apparatus capable of reducing the labor and time for reading data for personal identification and improving the recognition rate of personal identification by combining fingerprint matching and vein matching for personal identification. <P>SOLUTION: The personal identification apparatus for identifying individuals using personal information comprises a fingerprint or vein reading section for detecting fingerprint data and vein data from the same finger, and a processing section for determining authentication of a person or rejection of authentication on the basis of the fingerprint data or the vein data detected at the fingerprint or vein reading section. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

この発明は、指紋照合と静脈照合とを併用して個人の識別を行う個人識別装置に関するものである。   The present invention relates to a personal identification device that performs personal identification by using both fingerprint verification and vein verification.

従来の個人識別装置には、第１の生体情報を入力する生体情報１入力手段と、生体情報１入力手段から入力された生体情報と予め登録されている第１の生体情報のデータである生体情報１登録データとの照合を行う生体情報１照合手段と、第２の生体情報を入力する生体情報２入力手段と、生体情報２入力手段から入力された生体情報と予め登録されている第２の生体情報のデータである生体情報２登録データとの照合を行う生体情報２照合手段と、生体情報１照合手段の照合結果である生体情報１照合結果および生体情報２照合手段の照合結果である生体情報２照合結果とを用いて本人か他人かの判断である本人判定手段を行う複合判定手段とを備え、複合判定手段は、第１の生体情報の類似度分布と第２の生体情報の類似度分布に応じて、本人判定に用いるしきい値を設定するものがある（例えば、特許文献１参照）。   In a conventional personal identification device, biometric information 1 input means for inputting first biometric information, biometric information input from the biometric information 1 input means, and biometric data that is data of first biometric information registered in advance. Biometric information 1 collating means for collating with the information 1 registration data, biometric information 2 input means for inputting the second biometric information, and biometric information inputted from the biometric information 2 input means are registered in advance. Biometric information 2 collation means for collating with biometric information 2 registration data which is biometric information data, biometric information 1 collation result which is a collation result of the biometric information 1 collation means, and collation result of the biometric information 2 collation means. Using a biometric information 2 collation result and a composite determination means for performing identity determination means for determining whether the person is a person or another person. The composite determination means includes a similarity distribution of the first biological information and the second biological information. Depending on similarity distribution It is intended to set a threshold used for the person determination (e.g., see Patent Document 1).

特開２００２−２３０５５３号公報JP 2002-230553 A

特許文献１に記載の個人識別装置では、個人識別のために２種類の生体情報が入力され、入力された第１の生体情報によって得られた生体情報１照合結果と、同じく入力された第２の生体情報によって得られた生体情報２照合結果とに基づいて、複合判定手段において本人か他人かの判断が行われる。そして、この複合判定手段において、第１の生体情報の類似度分布と第２の生体情報の類似度分布とに応じて本人判定に用いるしきい値が設定されるため、他人を誤って本人と判定する確率（他人受入率）と、本人を誤って他人と判定する確率（本人拒否率）とを調整して高精度な認証を行うことが可能となっている。しかし、個人識別のために入力される第１及び第２の生体情報は、それぞれ異なる生体情報入力手段を使用して読取る必要があるため、コストが高くなるとともに、装置全体が大型化するという問題があった。また、個人識別のための生体情報として、特許文献１には指紋、虹彩、声紋、顔、掌型、サインが例示されているが、指紋の場合は指の載置、声紋の場合は発声等、生体情報を読取るために必要な動作がそれぞれ異なるため、生体情報の読取に手間と時間とが掛かるという問題も生じていた。   In the personal identification device described in Patent Document 1, two types of biometric information are input for personal identification, and the biometric information 1 collation result obtained from the input first biometric information is the same as the second input. Based on the biometric information 2 collation result obtained from the biometric information, the composite determination means determines whether the person is the person or the other person. In this composite determination means, a threshold value used for identification is set according to the similarity distribution of the first biological information and the similarity distribution of the second biological information. It is possible to perform high-accuracy authentication by adjusting the probability of determination (acceptance rate of other person) and the probability of erroneously determining the person as a different person (rejection rate of the person). However, since the first and second biological information input for personal identification needs to be read using different biological information input means, there is a problem that the cost is increased and the entire apparatus is enlarged. was there. Further, as biometric information for personal identification, Patent Document 1 exemplifies a fingerprint, an iris, a voiceprint, a face, a palm shape, and a signature. In the case of a fingerprint, placement of a finger, in the case of a voiceprint, utterance, etc. Since the operations necessary for reading the biometric information are different from each other, there is a problem that it takes time and effort to read the biometric information.

この発明は、上述のような課題を解決するためになされたもので、その目的は、個人識別を行うために指紋照合と静脈照合とを併用することによって、個人識別のためのデータの読取に必要な手間と時間とを減らすとともに、個人識別の認識率を向上することができる個人識別装置を提供することである。   The present invention has been made to solve the above-described problems, and its purpose is to read data for personal identification by using both fingerprint verification and vein verification in order to perform personal identification. An object of the present invention is to provide a personal identification device capable of reducing the necessary labor and time and improving the recognition rate of personal identification.

この発明に係る個人識別装置は、指紋データ及び静脈データを同一の指から検出する指紋・静脈読取部と、この指紋・静脈読取部で検出された指紋データ及び静脈データに基づいて本人認証又は認証拒否の判定をする処理部とを備えたものである。   The personal identification device according to the present invention includes a fingerprint / vein reading unit that detects fingerprint data and vein data from the same finger, and personal authentication or authentication based on the fingerprint data and vein data detected by the fingerprint / vein reading unit. And a processing unit for determining rejection.

この発明は、指紋データ及び静脈データを同一の指から検出する指紋・静脈読取部と、この指紋・静脈読取部で検出された指紋データ及び静脈データに基づいて本人認証又は認証拒否の判定をする処理部とを備える構成としたことで、個人識別のためのデータの読取に必要な手間と時間とを減らすとともに、個人識別の認識率を向上することができる。   According to the present invention, a fingerprint / vein reading unit that detects fingerprint data and vein data from the same finger, and identity authentication or authentication rejection is determined based on the fingerprint data and vein data detected by the fingerprint / vein reading unit. With the configuration including the processing unit, it is possible to reduce labor and time necessary for reading data for personal identification and improve the recognition rate of personal identification.

図１は、この発明における個人識別装置の構成を示すブロック図である。図において、後述する指紋・静脈読取部１０は、個人識別を行うために必要な指紋と、この指紋を採取した指と同じ指先の静脈とから得られる個人情報（指紋データ及び静脈データ）を検出し、照合及び判定等の制御が行われる処理部２０へ出力する。   FIG. 1 is a block diagram showing a configuration of a personal identification device according to the present invention. In the figure, a fingerprint / vein reading unit 10 to be described later detects personal information (fingerprint data and vein data) obtained from a fingerprint necessary for personal identification and a vein at the same fingertip as the finger from which the fingerprint was collected. And output to the processing unit 20 where control such as collation and determination is performed.

次に処理部２０について説明する。
指紋・静脈読取部１０から処理部２０へ出力された指紋データは、先ず、処理部２０内に備えられた指紋特徴抽出手段２１に入力され、この指紋特徴抽出手段２１において指紋データの特徴点（マニューシャ）が抽出される。そして、抽出された特徴点から得られた情報は、指紋特徴データとして指紋特徴抽出手段２１から指紋照合手段２２へ出力される。なお、この指紋特徴データは、例えば、特徴点となる隆線の端点や分岐点等の位置、種類、方向及び特徴点同士の関係等から構成される。指紋照合手段２２では、指紋特徴抽出手段２１から入力された指紋特徴データと、登録指紋データ記憶装置３０に予め登録されている本人の指紋特徴データとが照合され、その指紋照合結果となる指紋照合率が照合結果判定手段２５へ出力される。 Next, the processing unit 20 will be described.
The fingerprint data output from the fingerprint / vein reading unit 10 to the processing unit 20 is first input to the fingerprint feature extraction unit 21 provided in the processing unit 20, and the fingerprint feature extraction unit 21 uses the feature points ( Minutiae) is extracted. Information obtained from the extracted feature points is output from the fingerprint feature extraction unit 21 to the fingerprint collation unit 22 as fingerprint feature data. The fingerprint feature data includes, for example, the positions, types, directions, and relationships between feature points of end points and branch points of ridges that are feature points. The fingerprint collation unit 22 collates the fingerprint feature data input from the fingerprint feature extraction unit 21 with the user's fingerprint feature data registered in advance in the registered fingerprint data storage device 30 and obtains the fingerprint collation result as the fingerprint collation result. The rate is output to the matching result determination unit 25.

一方、指紋・静脈読取部１０から処理部２０へ出力された静脈データは、処理部２０内に備えられた静脈特徴抽出手段２３に入力され、この静脈特徴抽出手段２３において静脈データの特徴点が抽出される。そして、抽出された特徴点から得られた情報は、静脈特徴データとして静脈特徴抽出手段２３から静脈照合手段２４へ出力される。なお、この静脈特徴データは、例えば、静脈データの特徴点である静脈の分岐点や長さ、及び構造パターン等から構成される。静脈照合手段２４では、静脈特徴抽出手段２３から入力された静脈特徴データと、登録静脈データ記憶装置３１に予め登録されている本人の静脈特徴データとが照合され、その静脈照合結果となる静脈照合率が照合結果判定手段２５へ出力される。   On the other hand, the vein data output from the fingerprint / vein reading unit 10 to the processing unit 20 is input to the vein feature extraction unit 23 provided in the processing unit 20, and the feature points of the vein data are obtained by the vein feature extraction unit 23. Extracted. The information obtained from the extracted feature points is output from the vein feature extraction unit 23 to the vein matching unit 24 as vein feature data. The vein feature data includes, for example, vein branch points and lengths, which are feature points of vein data, and structure patterns. In the vein matching unit 24, the vein feature data input from the vein feature extracting unit 23 and the vein feature data of the person registered in advance in the registered vein data storage device 31 are checked, and the vein matching results as the vein matching result. The rate is output to the matching result determination unit 25.

指紋照合手段２２と静脈照合手段２４とから指紋照合率と静脈照合率とがそれぞれ入力された照合結果判定手段２５では、この入力された指紋照合率と静脈照合率とに基づいて本人と認める本人認証若しくは本人とは認めない認証拒否の判定が行われる。そして、この照合結果判定手段２５によって行われた判定結果は、結果表示手段４０に出力されて結果が通知される。
以下、各実施の形態において、指紋・静脈読取部１０の構造及び処理部２０の制御について詳細に説明する。 In the collation result determination unit 25 in which the fingerprint collation rate and the vein collation rate are respectively input from the fingerprint collation unit 22 and the vein collation unit 24, the person who is recognized as the principal based on the inputted fingerprint collation rate and the vein collation rate An authentication or denial of authentication is rejected. And the determination result performed by this collation result determination means 25 is output to the result display means 40, and a result is notified.
Hereinafter, in each embodiment, the structure of the fingerprint / vein reading unit 10 and the control of the processing unit 20 will be described in detail.

実施の形態１．
図２はこの発明の実施の形態１における指紋・静脈読取部の構成を示すブロック図、図３はこの発明の実施の形態１における処理部の制御を示すフローチャートである。初めに、指紋・静脈読取部１０の構成について図２に基づいて説明する。図において、指の腹側を下方にしてガラスやアクリル等からなる設置台（図示せず）に載置された指５０の下方には、ＣＣＤ等からなるセンサ１３が、また、この指５０の上方には、このセンサ１３と対向するように、第１の光源からなる赤色ＬＥＤと第２の光源からなる近赤外ＬＥＤとで構成された光源１１が設けられている。この光源１１とセンサ１３との間に設けられた設置台に指５０が載置されると、処理部２０に備えられた光源制御手段２６によって光源１１の選択及び発光が行われ、センサ１３によって光源１１からの光の検出が行われる。例えば、初めに指紋データの読取を行う場合には、光源制御手段２６の指令に基づいて光源切替手段１２によって選択された赤色ＬＥＤが発光し、センサ１３によって設置台に載置された指５０からの透過光が指紋データとして検出される。その後、静脈データの読取のため、光源制御手段２６の指令に基づいて光源切替手段１２によって光源１１が近赤外ＬＥＤに切替えられて発光し、センサ１３によって指５０からの透過光が静脈データとして検出される。なお、この指紋データ及び静脈データの読取は連続して行われるため、特に指５０を動かす必要はなく、１回の指５０の載置によって行われる。以上のようにして読取られた指紋データと静脈データとは、処理部２０に備えられた指紋特徴抽出手段２１と静脈特徴抽出手段２３とにそれぞれ出力される。 Embodiment 1 FIG.
FIG. 2 is a block diagram showing the configuration of the fingerprint / vein reading unit according to the first embodiment of the present invention, and FIG. 3 is a flowchart showing the control of the processing unit according to the first embodiment of the present invention. First, the configuration of the fingerprint / vein reading unit 10 will be described with reference to FIG. In the figure, a sensor 13 made of a CCD or the like is also provided below the finger 50 placed on an installation base (not shown) made of glass, acrylic or the like with the belly side of the finger down. A light source 11 composed of a red LED composed of a first light source and a near-infrared LED composed of a second light source is provided above the sensor 13. When the finger 50 is placed on an installation table provided between the light source 11 and the sensor 13, the light source 11 is selected and emitted by the light source control means 26 provided in the processing unit 20. Detection of light from the light source 11 is performed. For example, when fingerprint data is first read, the red LED selected by the light source switching unit 12 based on a command from the light source control unit 26 emits light, and the finger 13 placed on the installation table by the sensor 13 emits light. Is transmitted as fingerprint data. Thereafter, in order to read vein data, the light source switching means 12 switches the light source 11 to near-infrared LED based on a command from the light source control means 26 and emits light. Detected. Since reading of the fingerprint data and the vein data is performed continuously, it is not particularly necessary to move the finger 50 and is performed by placing the finger 50 once. The fingerprint data and vein data read as described above are output to the fingerprint feature extraction means 21 and vein feature extraction means 23 provided in the processing unit 20, respectively.

次に、処理部２０の制御について図３に基づいて説明する。
指紋・静脈読取部１０からの指紋データに基づいて得られた指紋特徴データは、指紋照合手段２２において予め登録されている指紋特徴データと照合され、その指紋照合率が算出される（ステップＳ３０１）。この指紋照合率は照合結果判定手段２５に出力され、この照合結果判定手段２５において、予め他人受入率及び本人拒否率等に基づいて定められた指紋照合率の閾値と比較される（ステップＳ３０２）。ここで、指紋データに基づいて得られた指紋照合率がこの閾値よりも大きい若しくは等しい場合には、本人の認証がなされて個人照合が終了する。一方、指紋データに基づいて得られた指紋照合率が閾値よりも小さい場合には、本人の認証が行われず、静脈照合が開始される。この静脈照合では、先ず、指紋・静脈読取部１０からの静脈データに基づいて得られた静脈特徴データが、静脈照合手段２４において予め登録されている静脈特徴データと照合され、その静脈照合率が算出される（ステップＳ３０３）。この静脈照合率は照合結果判定手段２５に出力され、この照合結果判定手段２５において、予め他人受入率及び本人拒否率等に基づいて定められた静脈照合率の閾値と比較される（ステップＳ３０４）。ここで、静脈データに基づいて得られた静脈照合率がこの閾値よりも大きい若しくは等しい場合には、本人の認証がなされて個人照合が終了する。一方、静脈データに基づいて得られた静脈照合率が閾値よりも小さい場合には、認証拒否がなされて個人照合が終了する。 Next, control of the processing unit 20 will be described with reference to FIG.
The fingerprint feature data obtained based on the fingerprint data from the fingerprint / vein reading unit 10 is collated with the fingerprint feature data registered in advance in the fingerprint collation means 22, and the fingerprint collation rate is calculated (step S301). . The fingerprint collation rate is output to the collation result determination unit 25, and the collation result determination unit 25 compares the fingerprint collation rate with a fingerprint collation rate threshold value determined in advance based on the other person acceptance rate, the person rejection rate, and the like (step S302). . Here, when the fingerprint collation rate obtained based on the fingerprint data is greater than or equal to the threshold value, the person is authenticated and the personal collation ends. On the other hand, when the fingerprint collation rate obtained based on the fingerprint data is smaller than the threshold value, the person is not authenticated and vein collation is started. In this vein collation, first, vein feature data obtained based on vein data from the fingerprint / vein reading unit 10 is collated with vein feature data registered in advance in the vein collating means 24, and the vein collation rate is determined. Calculated (step S303). The vein verification rate is output to the verification result determination unit 25, and the verification result determination unit 25 compares the vein verification rate with a threshold value of the vein verification rate determined in advance based on the other person acceptance rate, the person rejection rate, and the like (step S304). . Here, when the vein verification rate obtained based on the vein data is greater than or equal to this threshold, the person is authenticated and the personal verification ends. On the other hand, if the vein verification rate obtained based on the vein data is smaller than the threshold value, authentication is rejected and the personal verification ends.

この発明の実施の形態１によれば、個人識別を行うための個人情報として、１本の指５０の先端部から得られる指紋と静脈とが用いられているため、個人情報の読取の際に、指紋・静脈読取部１０の設置台に指５０を載置するという１回の動作によって、指紋と静脈という２つの個人情報をほぼ同時に読取ることができ、個人情報の読取に必要な手間と時間とを大幅に減縮することが可能である。また、指紋を読取るための赤色ＬＥＤと静脈を読取るための近赤外ＬＥＤとが光源切替手段１２によって切替えられて連続で発光し、指５０の下方に設けられた１つのセンサ１３によって指紋データと静脈データとの検出が行われるので、個人情報毎に入力手段を備える必要はなく、小型で安価な個人識別装置を提供することができる。また、個人識別を行う認証方法として指紋照合及び静脈照合の２種類を使用しているため、指紋照合で本人と認証されない場合でも、静脈照合で本人と判断されれば本人の認証がなされるため、本人拒否率を大幅に向上させることができる。例えば、指紋照合及び静脈照合単体の本人拒否率が０．１％（千回に１回）である場合、実施の形態１の構成のように指紋照合及び静脈照合を併用すると、本人拒否率が０．０００１％（百万回に１回）となり、指５０を載置するという１回の動作でも、大幅な本人拒否率の改善が可能となる。   According to Embodiment 1 of the present invention, since the fingerprint and vein obtained from the tip of one finger 50 are used as personal information for personal identification, when reading personal information, The single operation of placing the finger 50 on the installation table of the fingerprint / vein reading unit 10 can read two pieces of personal information, fingerprint and vein, almost simultaneously, and the time and effort required for reading the personal information. Can be greatly reduced. Further, the red LED for reading the fingerprint and the near infrared LED for reading the vein are switched by the light source switching means 12 to continuously emit light, and the fingerprint data is detected by one sensor 13 provided below the finger 50. Since detection with vein data is performed, it is not necessary to provide input means for each personal information, and a small and inexpensive personal identification device can be provided. In addition, since two types of fingerprint verification and vein verification are used as authentication methods for personal identification, even if the person is not authenticated by fingerprint verification, the person is authenticated if the person is determined by vein verification. The person rejection rate can be greatly improved. For example, when the identity rejection rate of the fingerprint verification and vein verification alone is 0.1% (once every 1000 times), when the fingerprint verification and vein verification are used together as in the configuration of the first embodiment, the identity rejection rate is It becomes 0.0001% (once every million times), and even with a single operation of placing the finger 50, it is possible to greatly improve the rejection rate.

実施の形態２．
図４は、この発明の実施の形態２における処理部の制御を示すフローチャートである。図において、指紋・静脈読取部１０からの指紋データに基づいて得られた指紋特徴データは、指紋照合手段２２において予め登録されている指紋特徴データと照合され、その指紋照合率が算出される（ステップＳ４０１）。この指紋照合率は照合結果判定手段２５に出力され、この照合結果判定手段２５において、予め他人受入率及び本人拒否率等に基づいて定められた指紋照合率の閾値と比較される（ステップＳ４０２）。ここで、指紋データに基づいて得られた指紋照合率がこの閾値よりも小さい場合には、本人の認証拒否がなされて個人照合が終了する。一方、指紋データに基づいて得られた指紋照合率が閾値よりも大きい若しくは等しい場合には、本人の認証拒否は行われず、静脈照合が開始される。この静脈照合では、先ず、指紋・静脈読取部１０からの静脈データに基づいて得られた静脈特徴データが、静脈照合手段２４において予め登録されている静脈照合データと照合され、その静脈照合率が算出される（ステップＳ４０３）。この静脈照合率は照合結果判定手段２５に出力され、この照合結果判定手段２５において、予め他人受入率及び本人拒否率等に基づいて定められた静脈照合率の閾値と比較される（ステップＳ４０４）。ここで、静脈データに基づいて得られた静脈照合率がこの閾値よりも小さい場合には、本人の認証拒否がなされて個人照合が終了する。一方、静脈データに基づいて得られた静脈照合率が閾値よりも大きい若しくは等しい場合には、本人の認証がなされて個人照合が終了する。
なお、指紋・静脈読取部１０等のその他の構成は、実施の形態１と同様である。 Embodiment 2. FIG.
FIG. 4 is a flowchart showing control of the processing unit in the second embodiment of the present invention. In the figure, fingerprint feature data obtained based on fingerprint data from the fingerprint / vein reading unit 10 is collated with fingerprint feature data registered in advance in the fingerprint collating means 22, and the fingerprint collation rate is calculated ( Step S401). The fingerprint collation rate is output to the collation result determination unit 25, and the collation result determination unit 25 compares the fingerprint collation rate with a fingerprint collation rate threshold value determined in advance based on the other person acceptance rate, the person rejection rate, and the like (step S402). . Here, when the fingerprint collation rate obtained based on the fingerprint data is smaller than this threshold value, the person's authentication is rejected and the personal collation is completed. On the other hand, when the fingerprint collation rate obtained based on the fingerprint data is greater than or equal to the threshold value, the person's authentication is not rejected and vein collation is started. In this vein collation, first, vein feature data obtained based on the vein data from the fingerprint / vein reading unit 10 is collated with vein collation data registered in advance in the vein collation means 24, and the vein collation rate is determined. Calculated (step S403). The vein verification rate is output to the verification result determination unit 25, and the verification result determination unit 25 compares the vein verification rate with a threshold value of a vein verification rate determined in advance based on the other person acceptance rate, the person rejection rate, and the like (step S404). . Here, when the vein verification rate obtained based on the vein data is smaller than this threshold value, the person's authentication is rejected and the personal verification ends. On the other hand, if the vein verification rate obtained based on the vein data is greater than or equal to the threshold value, the person is authenticated and the personal verification ends.
Other configurations such as the fingerprint / vein reading unit 10 are the same as those in the first embodiment.

この発明の実施の形態２によれば、指紋照合で本人と判断される場合であっても、静脈照合によって本人と判断されなければ、本人の認証が行われないため、他人拒否率を大幅に向上させることができる。したがって、高度な情報セキュリティが要求される場合等には、特に有効な手段となる。なお、その他は実施の形態１と同様の効果が得られる。   According to the second embodiment of the present invention, even if a person is identified by fingerprint collation, if the person is not identified by vein collation, the person is not authenticated. Can be improved. Therefore, it is a particularly effective means when high information security is required. The other effects are the same as those of the first embodiment.

実施の形態３．
図５は、この発明の実施の形態３における指紋・静脈読取部の構成を示すブロック図である。図において、指の腹側を下方にしてガラスやアクリル等からなる設置台（図示せず）に載置された指５０の下方には、ＣＣＤ等からなるセンサ１３と、第１の光源からなる赤色ＬＥＤ及び第２の光源からなる近赤外ＬＥＤで構成された光源１１とが設けられている。センサ１３と光源１１との上方に設けられた設置台に指５０が載置されると、処理部２０に備えられた光源制御手段２６によって光源１１の選択及び発光が行われ、センサ１３によって光源１１からの光の検出が行われる。例えば、初めに指紋データの読取を行う場合には、光源制御手段２６の指令に基づいて光源切替手段１２によって選択された赤色ＬＥＤが発光し、センサ１３によって設置台に載置された指５０からの反射光が指紋データとして検出される。その後、静脈データの読取のため、光源制御手段２６の指令に基づいて光源切替手段１２によって光源１１が近赤外ＬＥＤに切替えられて発光し、センサ１３によって指５０からの反射光が静脈データとして検出される。なお、この指紋データ及び静脈データの読取は連続して行われるため、特に指５０を動かす必要はなく、１回の指５０の載置によって行われる。以上のようにして読取られた指紋データと静脈データとは、処理部２０に備えられた指紋特徴抽出手段２１と静脈特徴抽出手段２３とにそれぞれ出力される。また、その他の構成は、実施の形態１と同様である。 Embodiment 3 FIG.
FIG. 5 is a block diagram showing a configuration of the fingerprint / vein reading unit according to the third embodiment of the present invention. In the figure, below the finger 50 placed on an installation stand (not shown) made of glass, acrylic or the like with the belly side of the finger down, a sensor 13 made of CCD or the like and a first light source are made. A light source 11 composed of a near infrared LED including a red LED and a second light source is provided. When the finger 50 is placed on an installation table provided above the sensor 13 and the light source 11, the light source 11 is selected and emitted by the light source control means 26 provided in the processing unit 20. 11 is detected. For example, when fingerprint data is first read, the red LED selected by the light source switching unit 12 based on a command from the light source control unit 26 emits light, and the finger 13 placed on the installation table by the sensor 13 emits light. Are reflected as fingerprint data. Thereafter, in order to read the vein data, the light source 11 is switched to the near-infrared LED by the light source switching unit 12 based on a command from the light source control unit 26 and emits light. Detected. Since reading of the fingerprint data and the vein data is performed continuously, it is not particularly necessary to move the finger 50 and is performed by placing the finger 50 once. The fingerprint data and vein data read as described above are output to the fingerprint feature extraction means 21 and vein feature extraction means 23 provided in the processing unit 20, respectively. Other configurations are the same as those in the first embodiment.

この発明の実施の形態３によれば、光源１１から出射された光のうち、指５０からの反射光をセンサ１３で検出しているため、光源１１とセンサ１３とを共に設置台の下方に設置することができ、指紋・静脈読取部１０を小型化することが可能となる。また、実施の形態１のように光源１１が指５０の上方に設けられていないため、指５０の位置を確認して位置ずれや角度ずれを防止することができ、利便性が向上する。なお、その他は実施の形態１と同様の効果が得られる。   According to the third embodiment of the present invention, the reflected light from the finger 50 out of the light emitted from the light source 11 is detected by the sensor 13, so that both the light source 11 and the sensor 13 are placed below the installation base. The fingerprint / vein reading unit 10 can be downsized. Further, since the light source 11 is not provided above the finger 50 as in the first embodiment, the position of the finger 50 can be confirmed to prevent positional deviation and angular deviation, and convenience is improved. The other effects are the same as those of the first embodiment.

なお、実施の形態３では、処理部２０の制御を実施の形態１と同様として、指紋データ又は静脈データの何れか一方に基づいて本人と判定されれば、本人の認証がなされる構成としているが、処理部２０の制御方法を実施の形態２と同様にして、指紋データ及び静脈データの両方に基づいて本人と判定されなければ本人の認証がなされない構成としても良い。このような構成によって、実施の形態２と同様に他人受入率を大幅に向上させることができる。   In the third embodiment, the control of the processing unit 20 is controlled in the same manner as in the first embodiment, and if the person is determined based on either fingerprint data or vein data, the person is authenticated. However, the control method of the processing unit 20 may be configured in the same manner as in the second embodiment so that authentication of the person is not performed unless the person is determined based on both the fingerprint data and the vein data. With such a configuration, it is possible to greatly improve the acceptance rate of others as in the second embodiment.

この発明における個人識別装置の構成を示すブロック図である。It is a block diagram which shows the structure of the personal identification device in this invention. この発明の実施の形態１における指紋・静脈読取部の構成を示すブロック図である。It is a block diagram which shows the structure of the fingerprint and vein reading part in Embodiment 1 of this invention. この発明の実施の形態１における処理部の制御を示すフローチャートである。It is a flowchart which shows control of the process part in Embodiment 1 of this invention. この発明の実施の形態２における処理部の制御を示すフローチャートである。It is a flowchart which shows control of the process part in Embodiment 2 of this invention. この発明の実施の形態３における指紋・静脈読取部の構成を示すブロック図である。It is a block diagram which shows the structure of the fingerprint and vein reading part in Embodiment 3 of this invention.

符号の説明Explanation of symbols

１０ 指紋・静脈読取部
１１ 光源
１２ 光源切替手段
１３ センサ
２０ 処理部
２１ 指紋特徴抽出手段
２２ 指紋照合手段
２３ 静脈特徴抽出手段
２４ 静脈照合手段
２５ 照合結果判定手段
２６ 光源制御手段
３０ 登録指紋データ記憶装置
３１ 登録静脈データ記憶装置
４０ 結果表示手段
５０ 指 DESCRIPTION OF SYMBOLS 10 Fingerprint / vein reading part 11 Light source 12 Light source switching means 13 Sensor 20 Processing part 21 Fingerprint feature extraction means 22 Fingerprint collation means 23 Vein feature extraction means 24 Vein collation means 25 Collation result judgment means 26 Light source control means 30 Registered fingerprint data storage device 31 registered vein data storage device 40 result display means 50 fingers

Claims (7)

指紋データ及び静脈データを同一の指から検出する指紋・静脈読取部と、この指紋・静脈読取部で検出された指紋データ及び静脈データに基づいて本人認証又は認証拒否の判定をする処理部とを備えたことを特徴とする個人識別装置。   A fingerprint / vein reading unit that detects fingerprint data and vein data from the same finger, and a processing unit that determines identity authentication or authentication refusal based on the fingerprint data and vein data detected by the fingerprint / vein reading unit A personal identification device characterized by comprising. 指紋・静脈読取部は、指紋データを検出する際に発光する第１の光源と、静脈データを検出する際に発光する第２の光源と、前記第１の光源及び前記第２の光源からの光を検出するセンサと、前記第１の光源及び前記第２の光源を切替える光源切替手段とを備えたことを特徴とする請求項１に記載の個人識別装置。   The fingerprint / vein reading unit includes: a first light source that emits light when detecting fingerprint data; a second light source that emits light when detecting vein data; and the first light source and the second light source. The personal identification device according to claim 1, further comprising: a sensor that detects light; and a light source switching unit that switches between the first light source and the second light source. 第１の光源は赤色ＬＥＤ、第２の光源は近赤外ＬＥＤであることを特徴とする請求項２に記載の個人識別装置。   The personal identification device according to claim 2, wherein the first light source is a red LED, and the second light source is a near-infrared LED. センサは、設置台に載置された指からの透過光を検出することを特徴とする請求項１から請求項３の何れかに記載の個人識別装置。   The personal identification device according to claim 1, wherein the sensor detects transmitted light from a finger placed on the installation table. センサは、設置台に載置された指からの反射光を検出することを特徴とする請求項１から請求項３の何れかに記載の個人識別装置。   The personal identification device according to claim 1, wherein the sensor detects reflected light from a finger placed on the installation table. 処理部は、指紋データに基づいて得られた指紋照合結果と静脈データに基づいて得られた静脈照合結果との何れかによって本人と判定される場合に、本人の認証を行うことを特徴とする請求項１から請求項５の何れかに記載の個人識別装置。   The processing unit authenticates the person when the person is determined based on either the fingerprint collation result obtained based on the fingerprint data or the vein collation result obtained based on the vein data. The personal identification device according to any one of claims 1 to 5. 処理部は、指紋データに基づいて得られた指紋照合結果と静脈データに基づいて得られた静脈照合結果との何れもが本人と判定される場合に、本人の認証を行うことを特徴とする請求項１から請求項５の何れかに記載の個人識別装置。   The processing unit authenticates the person when both the fingerprint collation result obtained based on the fingerprint data and the vein collation result obtained based on the vein data are determined to be the person. The personal identification device according to any one of claims 1 to 5.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007001025A1 (en) * 2005-06-29 2007-01-04 Kyocera Corporation Biometric recognition system
JP2007026012A (en) * 2005-07-15 2007-02-01 Hitachi Omron Terminal Solutions Corp Automated teller machine
JP2007081876A (en) * 2005-09-14 2007-03-29 Nec Corp Portable communication terminal unit, authentication method, and authentication program
JP2007323389A (en) * 2006-06-01 2007-12-13 Nec Electronics Corp Solid-state imaging device, imaging method, and imaging system
JP2008003989A (en) * 2006-06-26 2008-01-10 Hitachi Omron Terminal Solutions Corp Biometric authentication device
JP2008020942A (en) * 2006-07-10 2008-01-31 Rohm Co Ltd Personal identification device and electronic device using the same
JP2008198083A (en) * 2007-02-15 2008-08-28 Mitsubishi Electric Corp Individual identification device
EP1965331A2 (en) 2007-03-02 2008-09-03 Fujitsu Limited Biometric authentication method and biometric authentication apparatus
JP2008257554A (en) * 2007-04-06 2008-10-23 Seiko Epson Corp Biometrics device and biometrics method
JP2008253598A (en) * 2007-04-06 2008-10-23 Seiko Epson Corp Biometric authentication device and biometric authentication method
JP2010521206A (en) * 2007-03-14 2010-06-24 サジェム セキュリテ Method and apparatus for individual identification by optical body pattern imaging
EP2312495A2 (en) 2009-10-16 2011-04-20 Hitachi-Omron Terminal Solutions, Corp. Biometric Authentication Apparatus and Biometric Authentication Method
WO2011062096A1 (en) * 2009-11-17 2011-05-26 日本電気株式会社 Multimodal authentication device
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