JP2990495B2 - Biometric Recognition Method in Fingerprint Verification - Google Patents
Biometric Recognition Method in Fingerprint VerificationInfo
- Publication number
- JP2990495B2 JP2990495B2 JP8067676A JP6767696A JP2990495B2 JP 2990495 B2 JP2990495 B2 JP 2990495B2 JP 8067676 A JP8067676 A JP 8067676A JP 6767696 A JP6767696 A JP 6767696A JP 2990495 B2 JP2990495 B2 JP 2990495B2
- Authority
- JP
- Japan
- Prior art keywords
- fingerprint
- equal
- sweat gland
- collation
- determined
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
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- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Collating Specific Patterns (AREA)
Description
【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION
【0001】[0001]
【発明の属する技術分野】本発明は、指紋照合に於ける
押捺指紋が生体指紋か疑似指紋かを識別する為の生体認
識方法に関する。指紋照合は、予め登録した指紋と、新
たに押捺した指紋とを照合して本人確認を行うものであ
る。この場合の登録指紋は、押捺指紋を撮像した多値画
像信号を二値化して、複数の特徴点を検出し、この特徴
点を含む所定の大きさの領域を、その座標情報を含めて
登録ファイルに格納したものである。そして、指紋照合
時は、押捺指紋を撮像した多値画像信号或いは二値化画
像信号と、登録ファイルから読出した特徴点を含む多値
画像信号或いは二値化画像信号とを比較照合し、所定数
以上の領域について一致点があれば、照合一致と判定す
るものである。[0001] 1. Field of the Invention [0002] The present invention relates to a biometric recognition method for identifying whether an imprinted fingerprint is a biometric fingerprint or a pseudo-fingerprint in fingerprint collation. Fingerprint verification is to verify the identity by comparing a previously registered fingerprint with a newly imprinted fingerprint. In this case, the registered fingerprint is obtained by binarizing a multi-valued image signal obtained by imaging the imprinted fingerprint, detecting a plurality of feature points, and registering an area of a predetermined size including the feature points, including its coordinate information. It is stored in a file. Then, at the time of fingerprint collation, the multivalued image signal or the binarized image signal obtained by imaging the imprinted fingerprint is compared with the multivalued image signal or the binarized image signal including the feature points read from the registration file, and the predetermined value is compared. If there is a coincidence point in more than a number of regions, it is determined that the collation matches.
【0002】[0002]
【従来の技術】図7は従来例の指紋照合のフローチャー
トであり、指紋を押捺し(C1)、その押捺指紋をカメ
ラで撮像した多値画像信号を取り込む(C2)。この
時、多値画像信号の一定領域内の平均輝度を求め、これ
が予め設定した閾値を超えている場合は、指紋押捺があ
ったと判定して、この多値画像信号を二値化し(C
3)、登録指紋との照合処理を行い(C4)、照合合格
か否かを判定する(C5)。2. Description of the Related Art FIG. 7 is a flowchart of a conventional fingerprint collation. A fingerprint is imprinted (C1), and a multi-valued image signal obtained by imaging the imprinted fingerprint with a camera is acquired (C2). At this time, the average luminance of the multi-level image signal in a certain area is obtained. If the average luminance exceeds a preset threshold value, it is determined that a fingerprint is imprinted, and the multi-level image signal is binarized (C
3) Perform collation processing with the registered fingerprint (C4), and determine whether the collation is successful (C5).
【0003】指紋には、隆線の端点と分岐点との二大特
徴点があり、殆どの指紋照合装置に於いては、この特徴
点部分を含む所定の大きさの領域の二値画像信号或いは
多値画像信号を、その領域の座標情報を含めて登録デー
タとして登録ファイルに格納している。指紋照合処理
は、押捺指紋の多値画像信号を二値化して、或いは多値
画像信号として、登録指紋の登録データとを照合するも
ので、所定の大きさの領域対応に行い、その領域対応の
一致数が所定数以上の場合に、照合合格として、本人確
認を行い(C6)、開錠等を行う。又所定数以上でない
場合は、不合格として、照合処理失敗処理を行う(C
7)。[0003] A fingerprint has two major feature points, that is, an end point and a branch point of a ridge. In most fingerprint matching devices, a binary image signal of an area of a predetermined size including this feature point portion is provided. Alternatively, the multivalued image signal is stored in the registration file as registration data including the coordinate information of the area. The fingerprint collation process is to binarize a multi-valued image signal of an imprinted fingerprint or as a multi-valued image signal and collate with registered data of a registered fingerprint. If the number of matches is equal to or greater than a predetermined number, the user is confirmed as having passed the verification (C6), and unlocking is performed. If the number is not equal to or more than the predetermined number, it is judged as rejected and the collation processing failure processing is performed (C
7).
【0004】図8は従来例の指紋登録のフローチャート
であり、指紋押捺(D1)、多値画像取り込み(D
2)、二値化(D3)のステップは、図7の指紋照合時
のステップ(C1)〜(C3)と同様であるが、二値化
処理した画像について細線化処理し、この細線化処理さ
れた隆線について、端点と分岐点とを特徴点として抽出
し、この特徴点の座標情報を基に、二値画像信号或いは
多値画像信号の所定の大きさの領域を切り出して、座標
情報と共に登録データとする登録処理を行う(D4)。FIG. 8 is a flowchart of a conventional fingerprint registration, in which a fingerprint is imprinted (D1) and a multi-valued image is captured (D1).
2), the steps of binarization (D3) are the same as steps (C1) to (C3) at the time of fingerprint collation in FIG. 7, except that the binarized image is thinned and this thinning processing is performed. With respect to the obtained ridge, an end point and a branch point are extracted as feature points, and a region of a predetermined size of a binary image signal or a multi-value image signal is cut out based on the coordinate information of the feature points, and the coordinate information is extracted. At the same time, a registration process for making registration data is performed (D4).
【0005】登録処理後、登録合格か否かを判定する
(D5)。即ち、所定数以上の特徴点が抽出できなかっ
た場合は、登録データ数が少ないことになるから不合格
とし、登録失敗処理(D7)を行う。その場合、例え
ば、再登録処理を行わせる。又所定数以上の特徴点を抽
出できた場合は、合格として、辞書データ登録を行う
(D6)。After the registration process, it is determined whether or not the registration has passed (D5). In other words, if a predetermined number of feature points or more cannot be extracted, the number of registered data items is small, so that the data is rejected and registration failure processing (D7) is performed. In that case, for example, a re-registration process is performed. If a predetermined number or more of feature points have been extracted, the dictionary data is registered as a pass (D6).
【0006】[0006]
【発明が解決しようとする課題】指紋登録及び指紋照合
に於いて、二値画像信号として登録及び照合を行う一般
的な場合に於いて、指紋登録を行った登録人の指からシ
リコンゴム等により指紋の型を取った疑似指紋を押捺す
ると、カメラにより撮像した多値画像信号の一定の領域
内の平均輝度が所定値を超えることになるから、この多
値画像信号を取り込み、二値化処理して、指紋照合処理
を行うことになる。その結果、照合一致により本人確認
が行われる問題がある。即ち、生体指紋の代わりの疑似
指紋を用いて指紋押捺することにより指紋照合を行っ
て、悪用を図る可能性がある。本発明は、疑似指紋押捺
による悪用を防止することを目的とする。In the general case of registering and collating as a binary image signal in fingerprint registration and fingerprint collation, a finger of a registrant who has performed fingerprint registration is used with silicone rubber or the like. When a pseudo-fingerprint in the form of a fingerprint is imprinted, the average luminance in a certain area of the multi-valued image signal captured by the camera exceeds a predetermined value. Then, a fingerprint collation process is performed. As a result, there is a problem that identity verification is performed by matching. That is, there is a possibility that the fingerprint is collated by imprinting the fingerprint using a pseudo fingerprint instead of the biometric fingerprint, thereby exploiting the fingerprint. An object of the present invention is to prevent abuse caused by pseudo fingerprint imprinting.
【0007】[0007]
【課題を解決するための手段】本発明の指紋照合に於け
る生体認識方法は、指紋を撮像した画像信号を二値化し
て、黒画素により谷線、白画素により隆線を示す1画面
分の指紋画像の黒画素を検索し、この黒画素の連続性を
識別し、連続画素数が第1の閾値以下か否かを判定し、
この第1の閾値以下の時に隆線に存在する汗腺と判定
し、この汗腺を1画面にわたってカウントアップし、こ
の汗腺のカウント値が第2の閾値以上か否かを判定し、
この第2の閾値以上の場合に生体指紋押捺と判定する過
程を含むものであり、隆線内に存在する汗腺により生体
指か疑似指かを判定する。According to the biometric recognition method for fingerprint collation of the present invention, an image signal obtained by imaging a fingerprint is binarized, and a black pixel represents a valley and a white pixel represents a ridge. Search for black pixels in the fingerprint image of, identify the continuity of the black pixels, determine whether the number of continuous pixels is less than or equal to a first threshold,
It is determined that the sweat gland is present on the ridge when the value is equal to or less than the first threshold, the sweat gland is counted up over one screen, and it is determined whether or not the count value of the sweat gland is equal to or more than the second threshold.
The method includes a step of determining a biometric fingerprint imprint when the value is equal to or larger than the second threshold value, and determines whether the finger is a living finger or a pseudo finger based on sweat glands existing in the ridge.
【0008】又生体指紋と判定した時に、全汗腺の座標
を含めて、押捺指紋の登録処理を行う過程を含むことが
できる。即ち、端点や分岐点等の特徴点と共に、汗腺の
座標を含めて指紋登録を行い、指紋照合時にはこの汗腺
についの照合も可能として、疑似指による悪用を防止す
る。The method may further include a step of registering the imprinted fingerprint including the coordinates of all sweat glands when it is determined that the fingerprint is a living body fingerprint. That is, fingerprint registration is performed including the coordinates of the sweat glands together with the feature points such as the end points and the branch points, and the fingerprints can be collated at the time of fingerprint collation, thereby preventing misuse of the pseudo finger.
【0009】[0009]
【発明の実施の形態】図1は本発明の第1の実施の形態
のフローチャートであり、指紋照合の場合を示し、先
ず、指紋押捺か否かを判定する(A1)。これは、前述
のように、押捺指紋をカメラにより撮像した多値画像信
号の一定の領域内の平均輝度が所定値を超えていること
により、指紋押捺と判定する。次にこの多値画像信号を
取り込み(A2)、二値化処理し(A3)、この二値化
処理した二値画像信号の黒画素を検索する(A4)。DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS FIG. 1 is a flowchart of a first embodiment of the present invention, showing a case of fingerprint collation. First, it is determined whether or not a fingerprint is imprinted (A1). As described above, this is determined to be fingerprint imprinting because the average luminance in a certain area of the multi-valued image signal obtained by imaging the imprint fingerprint by the camera exceeds a predetermined value. Next, the multi-level image signal is fetched (A2), binarized (A3), and a black pixel of the binarized binary image signal is searched (A4).
【0010】そして、黒画素の連続性を調べて、閾値以
下か否かを判定する(A5)。これは、指紋の谷線は黒
画素、隆線は白画素となり、又隆線に存在する汗腺は黒
画素となり、且つ黒画素による谷線は連続性を有する
が、汗腺は点状に分散しているから、連続性を有しない
ものである。従って、黒画素の連続性が第1の閾値以下
でない場合は汗腺ではないと判定して、ステップ(A
8)に移行する。Then, the continuity of the black pixels is checked to determine whether or not the continuity is equal to or smaller than a threshold value (A5). This is because the valley line of the fingerprint becomes a black pixel, the ridge becomes a white pixel, the sweat glands existing on the ridge become black pixels, and the valley line formed by the black pixels has continuity, but the sweat glands are dispersed in a dot-like manner. Therefore, they do not have continuity. Therefore, when the continuity of black pixels is not equal to or less than the first threshold value, it is determined that the pixel is not a sweat gland, and step (A)
Go to 8).
【0011】又黒画素の連続性が第1の閾値以下の場合
は汗腺と見做し、先に、登録指紋として汗腺の座標も含
めて登録した場合の汗腺の座標と照合する(A6)。そ
して、登録汗腺座標と押捺指紋汗腺座標とが一致する場
合は、汗腺検出数をカウントアップする(A7)。又ス
テップ(A6)に於いて、登録汗腺座標と押捺指紋汗腺
座標とが一致しない場合は、ステップ(A8)に移行す
る。If the continuity of black pixels is equal to or less than the first threshold value, the pixel is regarded as a sweat gland, and is compared with the coordinates of the sweat gland when the coordinates including the coordinates of the sweat gland are registered as registered fingerprints (A6). If the registered sweat gland coordinates and the imprint fingerprint sweat gland coordinates match, the number of sweat glands detected is counted up (A7). In step (A6), if the registered sweat gland coordinates do not match the imprint fingerprint sweat gland coordinates, the process proceeds to step (A8).
【0012】このステップ(A8)に於いては、二値画
像の全領域について検索したか否かを判定し、全領域に
ついての検索が終了していない場合は、ステップ(A
4)に移行し、又全領域についての検索が終了した場合
は、汗腺検出数が判定範囲以内か否か、即ち、汗腺検出
数のカウント値が第2の閾値以上か否かを判定する(A
9)。汗腺検出数が判定範囲以内の場合は、照合処理に
移行し(A10)、判定範囲以内でない場合は、生体指
でないと判定して強制終了する(A13)。In this step (A8), it is determined whether or not all the areas of the binary image have been searched. If the search has not been completed for all the areas, the step (A8) is executed.
When the process proceeds to 4) and the search for all the regions is completed, it is determined whether the number of detected sweat glands is within the determination range, that is, whether the count value of the number of detected sweat glands is equal to or greater than a second threshold value ( A
9). If the number of detected sweat glands is within the determination range, the process proceeds to collation processing (A10), and if not, it is determined that the finger is not a living finger and forcedly terminated (A13).
【0013】又照合処理(A10)は、従来例と同様に
指紋の特徴点を含む領域についての照合処理を行い、所
定数以上の一致領域が存在するか否かを判定し(A1
1)、所定数以上の一致領域が存在する場合は本人確認
とし(A12)、所定数以上の一致領域が存在しない場
合は照合失敗処理を行う(A14)。In the collation process (A10), the collation process is performed on an area including the characteristic point of the fingerprint, as in the conventional example, and it is determined whether or not a predetermined number or more of coincidence areas exist (A1).
1) If there is more than a predetermined number of matching areas, the identity is confirmed (A12), and if there is no more than a predetermined number of matching areas, a matching failure process is performed (A14).
【0014】前述のように、ステップ(A4)〜(A
9)により押捺指紋の汗腺検出処理を行い、汗腺を有す
る指紋画像であり、且つこの汗腺が第2の閾値以上個数
を有する場合に生体指を押捺したと判定するもので、生
体指と疑似指とを識別して指紋照合を行うから、疑似指
による悪用を防止することができる。As described above, steps (A4) to (A4)
According to 9), a sweat gland detection process of the imprinted fingerprint is performed, and it is determined that the living finger has been imprinted when the fingerprint image has the sweat gland and the number of the sweat glands is equal to or more than the second threshold value. Is identified and fingerprint matching is performed, so that abuse by a pseudo finger can be prevented.
【0015】生体指紋の二値画像は、例えば、図2に示
すように、黒画素の連続性を有する谷線と、白画素によ
る隆線と、この隆線内に黒画素による複数の汗腺が存在
するものである。この生体指紋に対して、シリコンゴム
等により型を取った疑似指を押捺した場合の二値画像
は、図3に示すものとなる。即ち、疑似指に於ける汗腺
は潰れたものとなり、従って、疑似指紋の二値画像は、
恰も画像処理によりノイズ成分を除去したように、汗腺
を含まないものとなる。As shown in FIG. 2, for example, a binary image of a biometric fingerprint includes a valley line having continuity of black pixels, a ridge formed by white pixels, and a plurality of sweat glands formed by black pixels within the ridges. It exists. FIG. 3 shows a binary image obtained by imprinting a pseudo-finger shaped with silicone rubber or the like on this biometric fingerprint. That is, the sweat glands in the pseudo finger are crushed, and therefore, the binary image of the pseudo fingerprint is
As if the noise component had been removed by image processing, no sweat glands were included.
【0016】そこで、図4の(A)に示すように、拡大
して一部のみを示す谷線1と隆線2と汗腺3との二値画
像について、一点鎖線矢印で示すように走査して黒画素
のマーキングを行う。(B)はマーキングした黒画素を
示す。そして、(C)に示すように、所定の大きさのマ
スク4を用いて黒画素の連続性を調べる。Therefore, as shown in FIG. 4A, a binary image of the valley line 1, the ridge line 2, and the sweat gland 3, which are enlarged and show only a part, is scanned as shown by a dashed line arrow. To mark black pixels. (B) shows a marked black pixel. Then, as shown in (C), the continuity of black pixels is checked using a mask 4 having a predetermined size.
【0017】図4の(C)の場合は、3×3画素の大き
さのマスクの場合を示すが、一般的には16×16画素
程度の大きさのマスクを用いることができる。この場
合、マスクを移動して、注目画素の縦横の連続黒画素数
を調べる。例えば、16×16画素のマスクの場合に、
そのマスク内の任意数の黒画素が孤立状態となっている
黒画素の集団を、谷線1ではなく汗腺3と判定し、その
汗腺3の座標値を保持する。又画素数の少ないマスクを
用いた場合に、縦横の連続画素数を調べて、その連続画
素数が第1の閾値以下の場合は、任意数の黒画素が孤立
状態であるから、汗腺3と判定することができる。そし
て、図2の生体指紋二値画像の場合は、例えば、マスク
外の黒画素とは連続しないマスク内の黒画素の集団につ
いて汗腺3と判定し、その汗腺3が多数検出されること
になるが、図3の疑似指紋二値画像の場合は、汗腺は零
又はそれに近いものとなる。従って、検出された汗腺を
カウントアップし、そのカウント値が第2の閾値以上あ
れば、確実に生体指紋であると判定することができる。FIG. 4C shows a case of a mask having a size of 3 × 3 pixels, but a mask having a size of about 16 × 16 pixels can be generally used. In this case, the mask is moved and the number of continuous black pixels in the vertical and horizontal directions of the target pixel is checked. For example, in the case of a mask of 16 × 16 pixels,
A group of black pixels in which an arbitrary number of black pixels in the mask are in an isolated state is determined as the sweat gland 3 instead of the valley line 1 and the coordinate value of the sweat gland 3 is held. When a mask having a small number of pixels is used, the number of continuous pixels in the vertical and horizontal directions is checked. If the number of continuous pixels is equal to or smaller than the first threshold, an arbitrary number of black pixels are in an isolated state. Can be determined. Then, in the case of the biometric fingerprint binary image of FIG. 2, for example, a group of black pixels in the mask that is not continuous with the black pixels outside the mask is determined to be a sweat gland 3, and a large number of the sweat glands 3 are detected. However, in the case of the pseudo-fingerprint binary image of FIG. 3, the sweat gland is zero or close to it. Therefore, the detected sweat glands are counted up, and if the count value is equal to or larger than the second threshold value, it is possible to reliably determine that the fingerprint is a biometric fingerprint.
【0018】図5は本発明の第2の実施の形態のフロー
チャートであり、指紋登録の場合を示し、前述の指紋照
合時と同様に、指紋押捺か否かを判定し(B1)、押捺
した場合は、多値画像を取り込み(B2)、その多値画
像を二値化し(B3)、この二値画像の黒画素を検索し
て、黒画素の連続性を調べる(B4)。FIG. 5 is a flow chart of the second embodiment of the present invention, showing the case of fingerprint registration. As in the case of the fingerprint collation described above, it is determined whether or not the fingerprint is imprinted (B1), and the imprint is performed. In this case, the multi-valued image is fetched (B2), the multi-valued image is binarized (B3), and the black pixels of the binary image are searched to check the continuity of the black pixels (B4).
【0019】次に、黒画素の連続性が第1の閾値以下か
否かを判定し(B5)、第1の閾値以下の場合は、汗腺
と判定して、カウントアップする(B6)。そして、全
領域について検索したか否かを判定し(B7)、検索が
終了した場合は、汗腺検出数が判定閾値以上か否かを判
定する(B8)。即ち、汗腺のカウント値が第2の閾値
以上か否かを判定し、第2の閾値以上でない場合は、疑
似指紋と判定して、強制終了とする(B14)。又第2
の閾値以上の場合は全汗腺の座標を登録し(B9)、且
つその汗腺検出数を登録する(B10)。Next, it is determined whether or not the continuity of the black pixels is equal to or less than a first threshold (B5). If the continuity of the black pixels is equal to or less than the first threshold, it is determined that the gland is a sweat gland and counted (B6). Then, it is determined whether or not all areas have been searched (B7). When the search is completed, it is determined whether or not the number of sweat glands detected is equal to or greater than a determination threshold (B8). That is, it is determined whether or not the sweat gland count value is equal to or greater than a second threshold value. If the count value is not equal to or greater than the second threshold value, the fingerprint is determined to be a pseudo fingerprint and forced termination is performed (B14). Second
If it is equal to or more than the threshold value, the coordinates of all sweat glands are registered (B9), and the number of detected sweat glands is registered (B10).
【0020】次に、従来例と同様に特徴点を含む領域の
二値画像信号を登録データとして登録処理し(B1
1)、特徴点数が所定数以上か否かによる登録合格か否
かを判定し(B12)、所定数以上存在する場合は辞書
データ登録を行う(B13)。又所定数以上存在しない
場合は、登録失敗処理を行う(B15)。Next, similarly to the conventional example, the binary image signal of the area including the feature point is registered as registration data (B1).
1) It is determined whether or not the registration is successful based on whether or not the number of feature points is equal to or more than a predetermined number (B12). If the number is equal to or more than the predetermined number, dictionary data registration is performed (B13). If there is no predetermined number or more, registration failure processing is performed (B15).
【0021】前述のステップ(B4)〜(B10)が汗
腺検出処理のステップを示し、指紋登録時に於いても、
生体指紋か疑似指紋かを汗腺検出により判定し、検出し
た汗腺の座標も登録することにより、疑似指紋による悪
用を確実に防止することができる。The above-mentioned steps (B4) to (B10) show the steps of the sweat gland detection processing.
By determining whether the fingerprint is a biometric fingerprint or a pseudo fingerprint by sweat gland detection, and by registering the coordinates of the detected sweat gland, abuse due to the pseudo fingerprint can be reliably prevented.
【0022】図6は本発明の実施の形態の機能ブロック
図であり、11は指紋撮像部、12は入力操作部、13
は画像入力部、14は二値化部、15は黒画素検索部、
16は連続性検出部、17は汗腺判定部、18は照合処
理部、19は登録部、20は照合判定出力部である。FIG. 6 is a functional block diagram of the embodiment of the present invention, in which 11 is a fingerprint imaging unit, 12 is an input operation unit,
Is an image input unit, 14 is a binarization unit, 15 is a black pixel search unit,
Reference numeral 16 denotes a continuity detection unit, 17 denotes a sweat gland determination unit, 18 denotes a collation processing unit, 19 denotes a registration unit, and 20 denotes a collation determination output unit.
【0023】指紋撮像部11は、押捺指紋を撮像するカ
メラを含み、指紋撮像画像信号を画像入力部13に加え
る。又入力操作部12は、テンキー等を含み、指紋登録
要求,指紋照合要求,識別番号等の入力を行うものであ
る。又画像入力部13は、指紋撮像部11からの撮像画
像信号を基に所定判定内の平均輝度が所定値を超えてい
る場合に、指紋押捺と判定して取り込み、例えば、1画
素を8ビットにディジタル化して256階調表示とし、
二値化部14に加える。The fingerprint image pickup section 11 includes a camera for picking up imprinted fingerprints, and applies a fingerprint picked-up image signal to the image input section 13. The input operation unit 12 includes a numeric keypad and the like, and inputs a fingerprint registration request, a fingerprint collation request, an identification number, and the like. When the average luminance within the predetermined determination exceeds the predetermined value based on the captured image signal from the fingerprint imaging unit 11, the image input unit 13 determines that the fingerprint is imprinted and captures the image. Digitized into 256 gradation display,
It is added to the binarization unit 14.
【0024】二値化部14により二値化された画像信号
は、黒画素検索部15に加えられ、1画面分について黒
画素を検索してマーキングし、連続性検出部16に於い
て黒画素の連続性を調べて、汗腺判定部17に於いて、
連続黒画素数が第1の閾値以上の場合は谷線と判定し、
連続黒画素数が第1の閾値以下の場合は汗腺と判定し、
この汗腺をカウントアップして、1画面分についてカウ
ントした値が第2の閾値以上であると、生体指紋と判定
し、第2の閾値を超えない場合は疑似指紋と判定する。The image signal binarized by the binarizing unit 14 is applied to a black pixel searching unit 15 for searching and marking black pixels for one screen, and a continuity detecting unit 16 for marking black pixels. In the sweat gland determination unit 17, the continuity of
If the number of continuous black pixels is greater than or equal to the first threshold, it is determined to be a valley line,
If the number of continuous black pixels is equal to or less than the first threshold, it is determined to be a sweat gland,
This sweat gland is counted up, and if the value counted for one screen is equal to or greater than the second threshold, it is determined to be a biometric fingerprint, and if it does not exceed the second threshold, it is determined to be a pseudo fingerprint.
【0025】照合処理部18は、生体指紋と判定した指
紋画像について、登録部19に登録或いは登録部19に
登録された指紋との照合を行い、疑似指紋と判定した場
合は、登録処理も照合処理も強制的に終了する。又照合
処理結果、本人確認が得られると、開錠処理等を照合判
定出力部20に於いて行うことになる。前述の各部の機
能は、プロセッサや画像メモリ等を用いて実現すること
ができる。The collation processing unit 18 registers the fingerprint image determined as a biometric fingerprint with the registration unit 19 or compares the fingerprint image registered with the registration unit 19 with the fingerprint image. The process is also forcibly terminated. When the identity is obtained as a result of the collation processing, unlocking processing and the like are performed in the collation determination output unit 20. The functions of the above-described units can be realized using a processor, an image memory, and the like.
【0026】[0026]
【発明の効果】以上説明したように、本発明は、指紋画
像に多数の汗腺が含まれている場合に生体指紋と判定
し、シリコンゴム等により型をとった疑似指紋との区別
を行い、疑似指紋と判定した場合には、登録及び照合を
強制終了とし、疑似指紋押捺による悪用を防止できるか
ら、指紋照合システムに於ける信頼性を更に向上するこ
とができる利点がある。又生体指紋と判定した場合に、
汗腺の座標を含めて指紋登録することにより、指紋照合
時の本人確認の信頼性を飛躍的に向上することができる
利点がある。As described above, according to the present invention, when a fingerprint image contains a large number of sweat glands, it is determined to be a biometric fingerprint, and is distinguished from a pseudo-fingerprint which is shaped using silicone rubber or the like. When it is determined that the fingerprint is a pseudo fingerprint, registration and collation are forcibly terminated, and misuse of the pseudo fingerprint can be prevented, so that there is an advantage that the reliability of the fingerprint collation system can be further improved. Also, if it is determined to be a biometric fingerprint,
By registering the fingerprint including the coordinates of the sweat glands, there is an advantage that the reliability of the identity verification at the time of fingerprint collation can be remarkably improved.
【図1】本発明の第1の実施の形態のフローチャートで
ある。FIG. 1 is a flowchart of a first embodiment of the present invention.
【図2】生体指紋二値画像の説明図である。FIG. 2 is an explanatory diagram of a biological fingerprint binary image.
【図3】疑似指紋二値画像の説明図である。FIG. 3 is an explanatory diagram of a pseudo fingerprint binary image.
【図4】本発明の実施の形態の汗腺検出処理の説明図で
ある。FIG. 4 is an explanatory diagram of a sweat gland detection process according to the embodiment of the present invention.
【図5】本発明の第2の実施の形態のフローチャートで
ある。FIG. 5 is a flowchart according to a second embodiment of the present invention.
【図6】本発明の実施の形態の機能ブロック図である。FIG. 6 is a functional block diagram according to the embodiment of the present invention.
【図7】従来例の指紋照合のフローチャートである。FIG. 7 is a flowchart of a conventional fingerprint collation.
【図8】従来例の指紋登録のフローチャートである。FIG. 8 is a flowchart of a conventional fingerprint registration.
(A1)〜(A14) 指紋照合ステップ (A1) to (A14) Fingerprint collation step
Claims (2)
黒画素により谷線、白画素により隆線を示す1画面分の
指紋画像の黒画素を検索し、該黒画素の連続性を識別
し、連続画素数が第1の閾値以下か否かを判定し、該第
1の閾値以下の時に隆線に存在する汗腺と判定し、該汗
腺を1画面にわたってカウントアップし、該汗腺のカウ
ント値が第2の閾値以上か否かを判定し、該第2の閾値
以上の場合に生体指紋押捺と判定する過程を含むことを
特徴とする指紋照合に於ける生体認識方法。An image signal obtained by capturing a fingerprint is binarized,
A black pixel in a fingerprint image for one screen showing a valley line by a black pixel and a ridge by a white pixel is searched, the continuity of the black pixel is identified, and it is determined whether or not the number of continuous pixels is equal to or less than a first threshold value. Then, it is determined that the sweat gland is present on the ridge when the value is equal to or less than the first threshold, the sweat gland is counted up over one screen, and it is determined whether the count value of the sweat gland is equal to or more than the second threshold. A biometric recognition method in fingerprint collation, comprising a step of determining a biometric fingerprint imprint when the value is equal to or greater than a threshold value of 2.
腺の座標を含めて、押捺指紋の登録処理を行う過程を含
むことを特徴とする請求項1記載の指紋照合に於ける生
体認識方法。2. The biometric recognition method according to claim 1, further comprising the step of registering the imprinted fingerprint including the coordinates of all sweat glands when the biometric fingerprint is imprinted. .
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP8067676A JP2990495B2 (en) | 1996-03-25 | 1996-03-25 | Biometric Recognition Method in Fingerprint Verification |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP8067676A JP2990495B2 (en) | 1996-03-25 | 1996-03-25 | Biometric Recognition Method in Fingerprint Verification |
Publications (2)
Publication Number | Publication Date |
---|---|
JPH09259272A JPH09259272A (en) | 1997-10-03 |
JP2990495B2 true JP2990495B2 (en) | 1999-12-13 |
Family
ID=13351848
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JP8067676A Expired - Fee Related JP2990495B2 (en) | 1996-03-25 | 1996-03-25 | Biometric Recognition Method in Fingerprint Verification |
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JP (1) | JP2990495B2 (en) |
Cited By (1)
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---|---|---|---|---|
EP4011292A1 (en) * | 2020-12-10 | 2022-06-15 | Koninklijke Philips N.V. | System and method for optical sweat measurement |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3620391B2 (en) * | 2000-02-23 | 2005-02-16 | 日本電気株式会社 | Fingerprint input device, image determination method used therefor, and recording medium recording control program thereof |
WO2004023999A1 (en) | 2002-09-13 | 2004-03-25 | Fujitsu Limited | Biosensing instrument and method and identifying device having biosensing function |
DE10307672A1 (en) | 2003-02-21 | 2004-09-09 | Krohne Meßtechnik GmbH & Co KG | Process for filling a liquid or pourable medium into a container |
EP1679036B1 (en) | 2003-08-15 | 2013-02-27 | Nippon Telegraph And Telephone Corporation | Organism recognition system |
JP4614716B2 (en) * | 2004-08-31 | 2011-01-19 | セコム株式会社 | Fingerprint input image determination processing device and fingerprint collation device |
US8625861B2 (en) * | 2008-05-15 | 2014-01-07 | International Business Machines Corporation | Fingerprint representation using gradient histograms |
US11749017B2 (en) | 2019-05-28 | 2023-09-05 | Nec Corporation | Information processing apparatus, information processing method, and storage medium |
BR112021022858A2 (en) | 2019-05-28 | 2021-12-28 | Nec Corp | Information processing device, information processing method and storage media |
-
1996
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP4011292A1 (en) * | 2020-12-10 | 2022-06-15 | Koninklijke Philips N.V. | System and method for optical sweat measurement |
WO2022122572A1 (en) * | 2020-12-10 | 2022-06-16 | Koninklijke Philips N.V. | System and method for optical sweat measurement |
Also Published As
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JPH09259272A (en) | 1997-10-03 |
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