JP2005115407A - Fingerprint matching device - Google Patents

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JP2005115407A
JP2005115407A JP2003344591A JP2003344591A JP2005115407A JP 2005115407 A JP2005115407 A JP 2005115407A JP 2003344591 A JP2003344591 A JP 2003344591A JP 2003344591 A JP2003344591 A JP 2003344591A JP 2005115407 A JP2005115407 A JP 2005115407A
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fingerprint
collation
data
threshold value
matching
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Mutsuhiko Horie
睦彦 堀江
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Mitsubishi Electric Corp
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Mitsubishi Electric Corp
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Abstract

<P>PROBLEM TO BE SOLVED: To provide a fingerprint matching device that can perform individual identification with high reliability. <P>SOLUTION: The fingerprint matching device comprises a feature information extracting means 2 for extracting feature information data on fingerprint data read by a fingerprint reading part 1, an ID number input means 4 for inputting an ID number of a person who performs the fingerprint matching, ID digit count detecting means 33 for detecting the number of digits of the ID number, fingerprint matching means 31 for calculating a rate of matching of the feature information data with fingerprint data registered in advance and matching the detected ID number digit count with an ID number registered in advance, matching threshold determining means 34 for determining a matching rate threshold depending on the ID number digit count, and fingerprint matching result determining means 32 for comparing the matching rate calculated by the fingerprint matching means 31 with the threshold determined by the matching threshold determining means 34 to determine whether the comparison result shows the personal fingerprint data or not. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

この発明は、入力された指紋と予め登録されている指紋照合して個人を同定する指紋照合装置に関する。   The present invention relates to a fingerprint collation device for identifying an individual by collating a fingerprint that has been registered in advance with an input fingerprint.

図５は、従来の指紋照合装置の構成を示すブロック図である。
従来の指紋照合装置においては、指紋読取部１で読み取られた指紋データは、特徴情報抽出手段２によってその特徴が解析・抽出され、特徴点データが作成される。
特徴情報抽出手段２によって抽出された特徴点データと登録指紋データ記憶装置５に予め登録されている指紋データのデータ照合率を指紋照合・判定部３０の指紋照合手段３０１で算出する。
そして、指紋照合・判定部３０の指紋照合結果判定手段３０２は、この算出されたデータ照合率と予め設定されている閾値を比較し、算出されたデータ照合率が閾値より大きければ本人と判定する。
即ち、指紋読取部１で読み取られた指紋と登録指紋データ記憶装置５に予め登録されている指紋データが一致すると判定する。
また、指紋照合しようとする人の指紋状態が悪い場合は、暗証番号入力手段４０によって暗証番号を入力し、この入力された暗証番号と暗証番号登録データ記憶装置６０に予め登録されている暗証番号を指紋照合結果判定手段３０２で比較し、一致すれば本人と判定する。
この照合結果に基づいて、照合結果表示手段により判定結果の表示などのアクションを実行する。 FIG. 5 is a block diagram showing a configuration of a conventional fingerprint collation apparatus.
In the conventional fingerprint collation device, the feature of the fingerprint data read by the fingerprint reading unit 1 is analyzed and extracted by the feature information extraction unit 2 to create feature point data.
The fingerprint verification unit 301 of the fingerprint verification / determination unit 30 calculates a data verification rate between the feature point data extracted by the feature information extraction unit 2 and the fingerprint data registered in advance in the registered fingerprint data storage device 5.
The fingerprint verification result determination unit 302 of the fingerprint verification / determination unit 30 compares the calculated data verification rate with a preset threshold value, and determines that the person is the person if the calculated data verification rate is greater than the threshold value. .
That is, it is determined that the fingerprint read by the fingerprint reading unit 1 matches the fingerprint data registered in advance in the registered fingerprint data storage device 5.
If the fingerprint of the person who is trying to collate the fingerprint is bad, the personal identification number is input by the personal identification number input means 40, and the input personal identification number and the personal identification number registered in advance in the personal identification number registration data storage device 60. Are compared by the fingerprint collation result determination means 302, and if they match, the person is determined.
Based on this collation result, an action such as display of the determination result is executed by the collation result display means.

また、特許文献１（特開平９−１４７１０４号公報）には、画像として検出した指紋の特徴点を抽出する特徴点抽出手段と、暗証番号により検索した登録指紋の特徴点と特徴点抽出手段が抽出した指紋の特徴点を照合し、両者が一致したとき同定判定を出力する照合手段と、暗証番号により検索した登録指紋が無効指紋であるときに特徴点抽出手段の出力から特徴点を計数する特徴点計数手段と、該特徴点抽出手段による特徴点数値が予め設定された所定範囲値からはずれているときに特徴点数異常を出力する比較手段を設け、照合判定手段による同定判定出力および特徴点異常判定による強制同定判定出力のいずれかを介して承認出力を発する指紋照合装置が示されている。
即ち、特許文献１（特開平９−１４７１０４号公報）の例では、暗証番号と指紋の状態の組合せで、本人か否かを判定している。
特開平９−１４７１０４号公報（図１、段落００３７） Patent Document 1 (Japanese Patent Laid-Open No. 9-147104) includes a feature point extracting unit that extracts a feature point of a fingerprint detected as an image, and a feature point and a feature point extracting unit of a registered fingerprint that are searched using a personal identification number. The feature points of the extracted fingerprints are collated, and when the two match, the collation means that outputs an identification determination, and when the registered fingerprint retrieved by the password is an invalid fingerprint, the feature points are counted from the output of the feature point extraction means A feature point counting unit and a comparison unit that outputs an abnormal number of feature points when a feature point value by the feature point extracting unit deviates from a predetermined range value set in advance are provided. A fingerprint collation device that issues an approval output via one of forced identification determination outputs based on abnormality determination is shown.
That is, in the example of Patent Document 1 (Japanese Patent Application Laid-Open No. 9-147104), it is determined whether or not the person is the person based on the combination of the personal identification number and the fingerprint state.
JP-A-9-147104 (FIG. 1, paragraph 0037)

従来の指紋照合装置では、暗証番号で指紋照合するケースがあるので、セキュリティ性が低くなるという問題点があった。
この発明は、上述のように問題点を解決するためになされたもので、セキュリティ性を落とすことなく、指紋による本人確認を行うことのできる高信頼度な指紋照合装置を提供することを目的とする。 In the conventional fingerprint collation device, there is a case where fingerprint collation is performed using a personal identification number, so that there is a problem that security is lowered.
The present invention has been made to solve the problems as described above, and an object thereof is to provide a highly reliable fingerprint collation apparatus that can perform identity verification using a fingerprint without degrading security. To do.

この発明に係る指紋照合装置は、指紋照合を行う本人の指紋データを読み取るための指紋読取部と、上記指紋読取部によって読み取られた指紋データの特徴情報データを抽出する特徴情報抽出手段と、指紋照合を行う本人のＩＤ番号を入力するＩＤ番号入力手段と、上記ＩＤ番号入力手段に入力されたＩＤ番号の桁数を検出するＩＤ桁数検出手段と、特徴情報抽出手段によって抽出された特徴情報データと登録指紋データ記憶装置に予め登録されている指紋データとのデータ照合率を算出すると共に、上記ＩＤ桁数検出手段が検出するＩＤ番号の桁数とＩＤ番号記憶装置に予め登録されているＩＤ番号を照合する指紋照合手段と、上記ＩＤ桁数検出手段が検出するＩＤ番号の桁数に応じて照合率の閾値を決定する照合閾値決定手段と、上記指紋照合手段が算出する照合率と上記照合閾値決定手段が決定する閾値を比較し、上記指紋照合手段が算出する照合率が上記閾値より大きければ本人の指紋データであると判定する指紋照合結果判定手段を備えたものである。   A fingerprint collation apparatus according to the present invention includes a fingerprint reading unit for reading fingerprint data of a person who performs fingerprint collation, a feature information extraction unit for extracting feature information data of fingerprint data read by the fingerprint reading unit, and a fingerprint ID number input means for inputting the ID number of the person to be verified, ID digit number detection means for detecting the number of digits of the ID number input to the ID number input means, and feature information extracted by the feature information extraction means The data collation rate between the data and the fingerprint data registered in advance in the registered fingerprint data storage device is calculated, and the number of digits of the ID number detected by the ID digit number detecting means and the ID number storage device are registered in advance. Fingerprint collating means for collating ID numbers; collation threshold value determining means for determining a threshold value for collation rate according to the number of digits of the ID number detected by the ID digit number detecting means; A fingerprint collation result determination unit that compares the collation rate calculated by the collation unit with the threshold value determined by the collation threshold value determination unit, and determines that the data is the fingerprint data of the person if the collation rate calculated by the fingerprint collation unit is greater than the threshold value. It is equipped with.

本発明によれば、照合閾値決定手段はＩＤ桁数検出手段が検出するＩＤ番号の桁数に応じて照合率の閾値を決定し、指紋照合結果判定手段は指紋照合手段が算出する照合率と照合閾値決定手段が決定する閾値を比較し、指紋照合手段が算出する照合率が閾値より大きければ本人の指紋データであると判定するので、セキュリティ性を落とすことなく、指紋による本人確認を行うことができる。   According to the present invention, the collation threshold value determining means determines the collation rate threshold value in accordance with the number of digits of the ID number detected by the ID digit number detecting means, and the fingerprint collation result determining means is the collation rate calculated by the fingerprint collating means. Compare the thresholds determined by the verification threshold determination means, and if the verification rate calculated by the fingerprint verification means is greater than the threshold, it is determined that the data is the person's fingerprint data. Can do.

本発明の一実施の形態について、図面に基づいて説明する。
なお、従来と同一符号は従来のものと同一あるいは相当のものを表す。
実施の形態１．
図１は、実施の形態１による指紋照合装置の構成を示すブロック図である。
指紋読取部１で読み取られた指紋データは、特徴情報抽出手段１により特徴点が解析・抽出され、特徴点データが作成される。
この特徴情報抽出手段１により作成された特徴点データと登録指紋データ記憶装置５に予め登録されている指紋データの照合率を指紋照合・判定部３の指紋照合手段３１で算出する。 An embodiment of the present invention will be described with reference to the drawings.
Note that the same reference numerals as those in the past represent the same or equivalent ones as in the prior art.
Embodiment 1 FIG.
FIG. 1 is a block diagram showing the configuration of the fingerprint collation apparatus according to the first embodiment.
The feature points of the fingerprint data read by the fingerprint reading unit 1 are analyzed and extracted by the feature information extraction unit 1 to generate feature point data.
The fingerprint collation unit 31 of the fingerprint collation / determination unit 3 calculates a collation rate between the feature point data created by the feature information extraction unit 1 and the fingerprint data registered in advance in the registered fingerprint data storage device 5.

特徴情報抽出手段２により作成された特徴点データと、ＩＤ番号入力手段４より入力されたＩＤ番号に基づいて、ＩＤ番号記憶装置６に記憶されている同じＩＤ番号に対応して登録指紋データ記憶装置５に予め登録されている指紋データとの照合率を、指紋照合判定部３の指紋照合手段３１で算出する。
即ち、登録指紋データ記憶装置５に記憶される指紋データとＩＤ番号記憶装置６に記憶されるＩＤ番号はペアで記憶されている。
そして、指紋照合する際には、ＩＤ番号入力手段４より入力されたＩＤ番号に対応する指紋データと、今回特徴情報抽出手段２が抽出した特徴点データとを照合する。
また、ＩＤ番号入力手段４により入力されたＩＤ番号の数字列は、指紋照合・判定部３のＩＤ桁数検出手段３３でＩＤ番号の桁数が検出される。
そして、ＩＤ桁数検出手段３３で検出されたＩＤ番号の桁数が指紋照合手段３１および後述する照合閾値決定手段３４に入力される。 Based on the feature point data created by the feature information extraction unit 2 and the ID number input by the ID number input unit 4, the registered fingerprint data is stored corresponding to the same ID number stored in the ID number storage device 6. The collation rate with the fingerprint data registered in advance in the apparatus 5 is calculated by the fingerprint collation means 31 of the fingerprint collation determination unit 3.
That is, the fingerprint data stored in the registered fingerprint data storage device 5 and the ID number stored in the ID number storage device 6 are stored in pairs.
When fingerprint collation is performed, the fingerprint data corresponding to the ID number input from the ID number input unit 4 and the feature point data extracted by the current feature information extraction unit 2 are collated.
The number of digits of the ID number is detected by the ID digit number detection unit 33 of the fingerprint collation / determination unit 3 from the ID number digit string input by the ID number input unit 4.
Then, the number of digits of the ID number detected by the ID digit number detection unit 33 is input to the fingerprint verification unit 31 and a verification threshold value determination unit 34 described later.

照合閾値決定手段３４は、ＩＤ桁数検出手段３３から入力されるＩＤ番号の桁数に応じて最適な照合率の閾値を決定し、決定した閾値を指紋照合・判定部３の指紋照合結果判定手段３２に入力する。
そして、指紋照合結果判定手段３２は、指紋照合手段３１で算出されたデータ照合率と照合閾値決定手段３４から入力された閾値を比較し、指紋照合手段３１で算出されたデータ照合率が照合閾値決定手段３４から入力された閾値より大きければ本人と判定し、照合結果表示手段で判定結果の表示などのアクションを実行する。 The collation threshold value determining unit 34 determines an optimum collation rate threshold value according to the number of digits of the ID number input from the ID digit number detection unit 33, and determines the determined threshold value as a fingerprint collation result determination result of the fingerprint collation / determination unit 3. Input to means 32.
Then, the fingerprint collation result determination unit 32 compares the data collation rate calculated by the fingerprint collation unit 31 with the threshold value input from the collation threshold value determination unit 34, and the data collation rate calculated by the fingerprint collation unit 31 is the collation threshold value. If it is larger than the threshold value input from the determination means 34, the person is determined to be the person, and an action such as display of the determination result is executed by the collation result display means.

照合閾値決定手段３４における処理の概念について説明する。
図２は、指紋照合における他人受け入れ率（ＦＡ）、本人拒否率（ＦＲ）と照合閾値との関係を示す図である。
図に示すように、例えば、照合閾値をＴＨ１としたときのＦＡ、ＦＲはそれぞれＦＡ１、ＦＲ１となる。
また、照合閾値をＴＨ２と小さくすると、ＦＲは現象するが、ＦＡは大きくなり、本人は通しやすくなるが、他人を謝って受け入れる確率が増加する。 The concept of processing in the matching threshold value determination unit 34 will be described.
FIG. 2 is a diagram illustrating the relationship between the acceptance rate (FA), rejection rate (FR), and verification threshold in fingerprint verification.
As shown in the figure, for example, when the collation threshold is TH1, FA and FR are FA1 and FR1, respectively.
When the collation threshold is reduced to TH2, FR occurs, but FA increases and the person can easily pass, but the probability of accepting others apologizing increases.

ここで、ＩＤ番号を暗証番号と見なし、この番号と指紋を併用したときのＦＡは以下のようになる。
ＦＡ併用 ＝ 指紋のＦＡ＊Ｍ＊ＩＤ番号のＦＡ
ここで、Ｍは指紋の登録数である。
ＩＤ番号のＦＡは、ＩＤ番号の桁数をＮとすると、以下で計算される。
ＦＡ ＝ １／１０＊＊Ｎ（１０のＮ乗）
図３は、ＩＤ番号を併用したときの他人受け入れ率（ＦＡ）、本人拒否率（ＦＲ）と照合閾値との関係を示す図である。
図において、ＩＤ番号併用ＦＡのカーブがＩＤ番号を併用したときの他人受け入れ率（ＦＡ）となる。
このように、ＩＤ番号を併用すると他人受け入れ率（ＦＡ）は減少し、セキュリティ性を落とすことなく、指紋による本人確認を行うことができる。 Here, the ID number is regarded as a personal identification number, and the FA when this number and a fingerprint are used together is as follows.
FA combined use = Fingerprint FA * M * ID number FA
Here, M is the number of registered fingerprints.
The FA of the ID number is calculated as follows, where N is the number of digits of the ID number.
FA = 1/10 ** N (10 to the power of N)
FIG. 3 is a diagram showing the relationship between the acceptance rate (FA), rejection rate (FR), and verification threshold when an ID number is used in combination.
In the figure, the curve of the FA with ID number becomes the acceptance rate (FA) when the ID number is used together.
As described above, when the ID number is used in combination, the acceptance rate (FA) of others is reduced, and it is possible to perform identity verification by fingerprint without degrading security.

図４は、ＩＤ番号の桁数を変化させたときの他人受け入れ率（ＦＡ）、本人拒否率（ＦＲ）と照合閾値との関係を示す図である。
図に示すように、目標とする他人受け入れ率（ＦＡ）を満足する閾値をＩＤ番号の桁数に応じて算出すればよい。
図４の例では、ＩＤ番号がない場合の閾値はＴＨ０、ＩＤ番号の桁数がＮのときの閾値はＴＨＮであることを示している。
同様に、ＩＤ番号の桁数がＮ＋１、Ｎ＋２、Ｎ＋３・・・のときの閾値は、ＴＨＮ＋１、ＴＨＮ＋２、ＴＨＮ＋３・・・である。
このように、ＩＤ番号入力手段４に任意の数字を付加し、ＩＤ番号の桁数を増加させる手段（図示せず）を備え、ＩＤ番号の桁数を増加させることによって、さらに他人受け入れ率（ＦＡ）を小さくし、より高信頼度な指紋照合装置を実現することができる。 FIG. 4 is a diagram showing the relationship between the acceptance rate (FA), rejection rate (FR), and verification threshold when the number of digits of the ID number is changed.
As shown in the figure, a threshold value that satisfies the target other person acceptance rate (FA) may be calculated according to the number of digits of the ID number.
In the example of FIG. 4, the threshold value when there is no ID number is TH0, and the threshold value when the number of digits of the ID number is N is THN.
Similarly, the thresholds when the number of digits of the ID number is N + 1, N + 2, N + 3... Are THN + 1, THN + 2, THN + 3.
In this way, an arbitrary number is added to the ID number input means 4 and a means (not shown) for increasing the number of digits of the ID number is provided. By increasing the number of digits of the ID number, the acceptance rate of others ( FA) can be reduced, and a highly reliable fingerprint collation apparatus can be realized.

なお、ＩＤ番号がない場合は、指紋読取部１で読み取った指紋データと登録指紋データ記憶装置５に登録されている全指紋データを照合して、本人を特定してもよい。
また、照合閾値決定手段３４は、ＩＤ番号の桁数に応じて連続的に閾値を決定するのではなく、例えは、桁数を４、６、８等の３種類に固定し、閾値も大、中、小と固定してもよい。 If there is no ID number, the fingerprint may be identified by collating the fingerprint data read by the fingerprint reading unit 1 with all the fingerprint data registered in the registered fingerprint data storage device 5.
The matching threshold value determination means 34 does not continuously determine the threshold value according to the number of digits of the ID number. For example, the number of digits is fixed to three types such as 4, 6, 8, and the threshold value is large. , Medium and small may be fixed.

以上説明したように、本実施の形態による指紋照合装置は、指紋照合を行う本人の指紋データを読み取るための指紋読取部１と、指紋読取部１によって読み取られた指紋データの特徴情報データを抽出する特徴情報抽出手段２と、指紋照合を行う本人のＩＤ番号を入力するＩＤ番号入力手段４と、該ＩＤ番号入力手段４に入力されたＩＤ番号の桁数を検出するＩＤ桁数検出手段３３と、特徴情報抽出手段２によって抽出された特徴情報データと登録指紋データ記憶装置５に予め登録されている指紋データとのデータ照合率を算出すると共に、ＩＤ桁数検出手段３３が検出するＩＤ番号の桁数とＩＤ番号記憶装置６に予め登録されているＩＤ番号を照合する指紋照合手段３１と、ＩＤ桁数検出手段３３が検出するＩＤ番号の桁数に応じて照合率の閾値を決定する照合閾値決定手段３４と、指紋照合手段３１が算出する照合率と照合閾値決定手段３４が決定する閾値を比較して、指紋照合手段３１が算出する照合率が照合閾値決定手段３４が決定する閾値より大きければ本人の指紋データであると判定する指紋照合結果判定手段３２を備えたことにより、セキュリティ性を落とすことなく、指紋による本人確認を高信頼度に行うことができる。   As described above, the fingerprint collation apparatus according to the present embodiment extracts the fingerprint reading unit 1 for reading the fingerprint data of the person who performs fingerprint collation, and the feature information data of the fingerprint data read by the fingerprint reading unit 1 Characteristic information extraction means 2, ID number input means 4 for inputting the ID number of the person who performs fingerprint verification, and ID digit number detection means 33 for detecting the number of digits of the ID number input to the ID number input means 4. And the ID number detected by the ID digit number detection means 33 and the data collation rate between the feature information data extracted by the feature information extraction means 2 and the fingerprint data registered in advance in the registered fingerprint data storage device 5 The collation rate according to the number of digits of the ID number detected by the fingerprint collating means 31 for collating the ID number and the ID number registered in the ID number storage device 6 in advance, and the ID digit number detecting means 33 The collation threshold value determination means 34 for determining the threshold value is compared with the collation rate calculated by the fingerprint collation means 31 and the threshold value determined by the collation threshold value determination means 34, and the collation rate calculated by the fingerprint collation means 31 is the collation threshold value determination means 34. By providing the fingerprint collation result determination means 32 that determines that the fingerprint data is the person's fingerprint data if it is larger than the threshold value determined by the user, it is possible to perform the identity verification with the fingerprint with high reliability without degrading the security.

また、ＩＤ番号入力手段４に任意の数字を付加し、ＩＤ番号の桁数を増加させる手段を備えたことにより、さらに高信頼度な指紋照合装置を実現できる。   Further, by providing a means for adding an arbitrary number to the ID number input means 4 and increasing the number of digits of the ID number, a more reliable fingerprint collation apparatus can be realized.

本発明は、入力された指紋と予め登録されている指紋照合して個人を同定する指紋照合装置に係わり、特に、セキュリティ性を落とすことなく、指紋による本人確認を行うことができる高信頼度な指紋照合装置の提供に有用である。   The present invention relates to a fingerprint collation device that identifies an individual by collating a fingerprint that has been registered in advance with a fingerprint that has been registered in advance, and in particular, has high reliability that can perform identity verification using a fingerprint without degrading security. This is useful for providing a fingerprint verification device.

実施の形態１による指紋照合装置の構成を示すブロック図である。1 is a block diagram illustrating a configuration of a fingerprint collation device according to a first embodiment. 指紋照合における他人受け入れ率（ＦＡ）、本人拒否率（ＦＲ）と照合閾値との関係を示す図である。It is a figure which shows the relationship between the other-person acceptance rate (FA) in a fingerprint collation, a person refusal rate (FR), and a collation threshold value. ＩＤ番号を併用したときの他人受け入れ率（ＦＡ）、本人拒否率（ＦＲ）と照合閾値との関係を示す図である。It is a figure which shows the relationship between a stranger acceptance rate (FA), a principal refusal rate (FR), and a collation threshold when ID number is used together. ＩＤ番号の桁数を変化させたときの他人受け入れ率（ＦＡ）と照合閾値との関係を示す図である。It is a figure which shows the relationship between the stranger acceptance rate (FA) when changing the number of digits of ID number, and a collation threshold value. 従来の指紋照合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 conventional fingerprint collation apparatus.

符号の説明Explanation of symbols

１ 指紋読取部 ２ 特徴情報抽出手段
３ 指紋照合・判定部 ４ ＩＤ番号入力手段
５ 登録指紋データ記憶装置 ６ ＩＤ番号記憶装置
７ 照合結果表示手段
３１ 指紋照合手段 ３２ 照合結果判定手段
３３ ＩＤ桁数検出手段 ３４ 照合閾値決定手段 DESCRIPTION OF SYMBOLS 1 Fingerprint reading part 2 Feature information extraction means 3 Fingerprint collation / determination part 4 ID number input means 5 Registered fingerprint data storage device 6 ID number storage device 7 Collation result display means 31 Fingerprint collation means 32 Collation result judgment means 33 ID digit number detection Means 34 Collation threshold value determination means

Claims (2)

指紋照合を行う本人の指紋データを読み取るための指紋読取部と、
上記指紋読取部によって読み取られた指紋データの特徴情報データを抽出する特徴情報抽出手段と、
指紋照合を行う本人のＩＤ番号を入力するＩＤ番号入力手段と、
上記ＩＤ番号入力手段に入力されたＩＤ番号の桁数を検出するＩＤ桁数検出手段と、
上記特徴情報抽出手段によって抽出された特徴情報データと登録指紋データ記憶装置に予め登録されている指紋データとのデータ照合率を算出すると共に、上記ＩＤ桁数検出手段が検出するＩＤ番号の桁数とＩＤ番号記憶装置に予め登録されているＩＤ番号を照合する指紋照合手段と、
上記ＩＤ桁数検出手段が検出するＩＤ番号の桁数に応じて照合率の閾値を決定する照合閾値決定手段と、
上記指紋照合手段が算出する照合率と上記照合閾値決定手段が決定する閾値を比較し、上記指紋照合手段が算出する照合率が上記閾値より大きければ本人の指紋データであると判定する指紋照合結果判定手段を備えたことを特徴とする指紋照合装置。 A fingerprint reader for reading the fingerprint data of the person who performs fingerprint verification;
Feature information extracting means for extracting feature information data of fingerprint data read by the fingerprint reading unit;
ID number input means for inputting the ID number of the person who performs fingerprint verification;
ID digit number detection means for detecting the number of digits of the ID number input to the ID number input means;
Calculate the data collation rate between the feature information data extracted by the feature information extraction means and the fingerprint data registered in advance in the registered fingerprint data storage device, and the number of digits of the ID number detected by the ID digit number detection means And fingerprint collation means for collating ID numbers registered in advance in the ID number storage device;
A collation threshold value determining means for determining a threshold value of the collation rate according to the number of digits of the ID number detected by the ID digit number detecting means;
A fingerprint collation result obtained by comparing the collation rate calculated by the fingerprint collation unit with the threshold value determined by the collation threshold value determination unit and determining that the collation rate calculated by the fingerprint collation unit is greater than the threshold value. A fingerprint collation apparatus comprising a determination unit. 上記ＩＤ番号入力手段に任意の数字を付加し、ＩＤ番号の桁数を増加させる手段を備えたことを特徴とする請求項１に記載の指紋照合装置。   The fingerprint collation apparatus according to claim 1, further comprising means for adding an arbitrary number to the ID number input means to increase the number of digits of the ID number.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008146138A (en) * 2006-12-06 2008-06-26 Hitachi Ltd Biometrics device, biometrics system, and biometrics method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008146138A (en) * 2006-12-06 2008-06-26 Hitachi Ltd Biometrics device, biometrics system, and biometrics method

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