JP2003244434A - Document authenticity discriminating apparatus and method therefor - Google Patents

Document authenticity discriminating apparatus and method therefor

Info

Publication number
JP2003244434A
JP2003244434A JP2002349499A JP2002349499A JP2003244434A JP 2003244434 A JP2003244434 A JP 2003244434A JP 2002349499 A JP2002349499 A JP 2002349499A JP 2002349499 A JP2002349499 A JP 2002349499A JP 2003244434 A JP2003244434 A JP 2003244434A
Authority
JP
Japan
Prior art keywords
document
authenticity
genuineness
light
degree
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.)
Granted
Application number
JP2002349499A
Other languages
Japanese (ja)
Other versions
JP3963826B2 (en
Inventor
Masayuki Yamada
真幸 山田
Kinya Toda
欣也 戸田
Toshiya Hamazaki
敏也 濱崎
Toru Fujii
徹 藤井
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Omron Corp
Original Assignee
Omron Corp
Omron Tateisi Electronics Co
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Omron Corp, Omron Tateisi Electronics Co filed Critical Omron Corp
Priority to JP2002349499A priority Critical patent/JP3963826B2/en
Publication of JP2003244434A publication Critical patent/JP2003244434A/en
Application granted granted Critical
Publication of JP3963826B2 publication Critical patent/JP3963826B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Abstract

<P>PROBLEM TO BE SOLVED: To provide a document authenticity discriminating apparatus and a method therefor in which authenticity can be discriminated with high accuracy at the time of discriminating authenticity of a presented document by acquiring picture images making use of a wavelength characteristic with respect to transmissivity or reflectance of light, and subjecting the acquired picture images to numeric conversion to find feature quantities. <P>SOLUTION: The feature quantities subjecting the wavelength characteristic in respect to transmissivity or reflectance of light to the document are extracted on the basis of the picture images of the document picked up by light sources having a plurality of wavelengths while utilizing the wavelength characteristic, and authenticity of the document is discriminated from these feature quantities. <P>COPYRIGHT: (C)2003,JPO

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】この発明は、例えば身分証明
書、免許証等の書類を照合確認する書類真偽判別装置に
関し、さらに詳しくは書類の本物度情報を正確に読取っ
て真偽判別する高判別性能を有する書類真偽判別装置お
よび書類真偽判別方法に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a document authenticity discriminating apparatus for collating and confirming documents such as ID cards and licenses, and more particularly to a document authenticity discriminating apparatus which accurately reads genuineness information of a document to discriminate authenticity. The present invention relates to a document authenticity discriminating apparatus and a document authenticity discriminating method having discrimination performance.

【0002】[0002]

【従来の技術】一般に、この種の書類真偽判別装置は、
例えば自動契約機等に組み込まれて、利用者が提示した
身分証明書等の書類の記載内容を光学的に読取って照合
確認している。
2. Description of the Related Art Generally, this type of document authenticity discriminating apparatus is
For example, it is incorporated into an automatic contract machine or the like, and optically checks the content of documents such as an identification card presented by the user to verify the content.

【0003】この場合、書類の真偽判別に際しては書類
を可視光線で撮影し、その撮影した画像データをオペレ
ータが見て本物の書類か偽造書類かを判断している。
In this case, when determining the authenticity of a document, the document is photographed with visible light, and the operator looks at the photographed image data to determine whether it is a genuine document or a forged document.

【0004】しかし、このような書類は、近年、OA機
器の技術進展に伴い高性能化したカラーコピー機やプリ
ンタなどを用いて容易に偽造されてしまい、正規の書類
と偽造された書類との区別がつかない程、精巧に複製で
きることから不正が誘起されやすくなっている。
However, in recent years, such documents are easily forged by using color copiers, printers, etc., which have been improved in performance with the technical development of OA equipment, and thus are classified as legitimate documents and forged documents. As they are indistinguishable, it is easy to induce fraud because they can be replicated in an elaborate manner.

【0005】このような不正を防止するためにも高精度
の識別機能を備えた書類真偽判別装置の開発が望まれて
いる。
In order to prevent such fraud, it is desired to develop a document authenticity discriminating apparatus having a highly accurate discrimination function.

【0006】このため、一例として複数の光源毎に読取
った全画面の濃淡画像から特徴データを抽出し、この特
徴データより求めた頻度分布と基準の頻度分布とを比較
して、紙葉類の種類と真偽とを認識する紙葉類認識装置
が知られている(例えば特許文献1参照。)。
Therefore, as an example, the characteristic data is extracted from the grayscale image of the entire screen read for each of a plurality of light sources, and the frequency distribution obtained from the characteristic data is compared with the reference frequency distribution to determine the paper A paper sheet recognition device that recognizes a type and authenticity is known (for example, refer to Patent Document 1).

【0007】ところが、この場合は全体的な画像データ
から紙葉類を認識するため、機器や紙葉類のバラツキの
影響を受けやすく、データ精度の信頼性が低くなってい
た。また、紙葉類を照合判定するための全体的な照合判
定データを要して、多くのデータ記憶量を備える必要が
あった。
However, in this case, since the paper sheets are recognized from the overall image data, the paper sheets are easily affected by the variations in the devices and the paper sheets, and the reliability of the data accuracy is low. In addition, it is necessary to provide a large amount of data storage because it requires the entire collation determination data for collation determination of the paper sheets.

【0008】また、波長の異なる複数種類の光源で複数
種類の光線を用いて書類を撮影し、これとサンプル画像
とを比較して、本物度を照合する書類照合装置が知られ
ている(例えば特許文献2参照。)。
Further, there is known a document collating apparatus for photographing a document by using plural kinds of light rays of plural kinds of light sources having different wavelengths and comparing the photograph with a sample image to verify the genuineness (for example, See Patent Document 2.).

【0009】この場合は、多数の偽造サンプルの収集
や、その解析を要していた。また、このためにサンプル
画像のデータ記憶量を多く備える必要があった。
In this case, it was necessary to collect a large number of counterfeit samples and analyze them. For this reason, it is necessary to provide a large amount of data storage for the sample image.

【0010】[0010]

【特許文献1】特開平06−44437号公報、[Patent Document 1] Japanese Patent Application Laid-Open No. 06-44437,

【特許文献2】特開2001−76203号公報。[Patent Document 2] Japanese Patent Laid-Open No. 2001-76203.

【0011】[0011]

【発明が解決しようとする課題】そこでこの発明は、提
示された書類の真偽判別に際して、光の透過率や反射率
に関する波長特性を利用して画像を取得し、この取得し
た画像を数値化して書類の特徴量を求めることにより、
本物と偽物との真偽判別が高精度に実現できる書類真偽
判別装置および書類真偽判別方法を提供することを目的
とする。
SUMMARY OF THE INVENTION Therefore, according to the present invention, an image is acquired by utilizing the wavelength characteristic relating to the transmittance and the reflectance of light when judging the authenticity of a presented document, and the acquired image is digitized. By calculating the feature amount of the document,
An object of the present invention is to provide a document authenticity discriminating apparatus and a document authenticity discriminating method capable of highly accurately discriminating authenticity from a genuine article.

【0012】[0012]

【課題を解決するための手段】この発明は、書類の真偽
を判別する書類真偽判別装置であって、波長の異なる複
数種類の光源と、前記複数種類の光源の光が書類を透過
する透過光または書類に照射して反射する反射光との少
なくとも一方を用いて書類を撮像する撮像手段と、前記
撮像手段を用いて撮像した前記光源別の撮像画像から被
判別書類の予め指定された複数の部位の特徴量を算出す
る算出手段と、前記算出手段を用いて算出した基準とな
る書類の基準特徴量から求めた本物度抽出用の特徴関数
を記憶する記憶手段と、前記算出手段を用いて算出した
被判別書類の特徴量と前記記憶手段に予め記憶された特
徴関数とから被判別書類の本物度を抽出する本物度抽出
手段とを備えたことを特徴とする。
SUMMARY OF THE INVENTION The present invention is a document authenticity discriminating apparatus for discriminating the authenticity of a document, wherein plural kinds of light sources having different wavelengths and light from the plural kinds of light sources are transmitted through the document. An image pickup unit that picks up an image of the document by using at least one of transmitted light or reflected light that is reflected by irradiating the document and a predetermined image of the document to be discriminated from the image picked up by the light source by the image pickup unit. A calculating means for calculating a characteristic amount of a plurality of parts; a storing means for storing a characteristic function for authenticity extraction obtained from a reference characteristic amount of a reference document calculated by the calculating means; The present invention is characterized by further comprising a genuineness degree extracting means for extracting the genuineness degree of the discriminated document from the characteristic amount of the discriminated document calculated by using the characteristic function stored in advance in the storage means.

【0013】ここで書類とは、身分証明書や免許証、そ
の他の特定情報を表す証書類などである。
Here, the document is an identification document, a driver's license, or a document showing other specific information.

【0014】前記撮像手段とは、画像を取得する例えば
CCDカメラなどの光学式撮像機器で構成することがで
きる。
The image pickup means may be composed of an optical image pickup device such as a CCD camera for obtaining an image.

【0015】前記算出手段および本物度抽出手段とは、
制御回路部のRAM等に組み込まれているプログラムに
よる演算によって求められ、装置に備えられる制御系の
演算部で構成することができる。
The calculating means and the genuineness degree extracting means are
It can be obtained by calculation by a program incorporated in the RAM or the like of the control circuit unit, and can be configured by a calculation unit of a control system provided in the device.

【0016】前記記憶手段とは、装置に備えられるハー
ドディスクまたはそれに代わる記憶装置、もしくは制御
回路部に備えられるRAM等の記憶部で構成することが
できる。
The storage means can be composed of a hard disk provided in the apparatus or a storage device which replaces the hard disk, or a storage section such as a RAM provided in the control circuit section.

【0017】前記光源とは、可視光線、赤外線、紫外線
のような波長の異なる複数の単色光線を光源に用いる。
As the light source, a plurality of monochromatic light rays having different wavelengths such as visible light rays, infrared rays and ultraviolet rays are used as the light source.

【0018】この光源の光が書類を透過したときの透過
光、もしくは光源の光が書類に照射して反射したときの
反射光を画像データとして撮像する。例えば、専用の印
刷機で印刷された本物の証書と、OA機器で複製された
偽造証書とでは、インクや書面の特性が違うことから光
の透過率や反射率に差が生じる。この生じた差は光の波
長依存性があるため波長によって、この差がかなり大き
くなるような特徴的な部位が存在する。
The transmitted light when the light from the light source passes through the document or the reflected light when the light from the light source illuminates the document and is reflected is imaged as image data. For example, a genuine certificate printed by a dedicated printing machine and a counterfeit certificate duplicated by an OA device have different characteristics of ink and writing, and thus have different light transmittance and reflectance. Since the generated difference depends on the wavelength of light, there is a characteristic portion where the difference becomes considerably large depending on the wavelength.

【0019】そこで、このような部位の画像データを用
いて透過率や反射率に関する特徴を求めることができ、
この特徴を求めて数値化したものを特徴量として定義す
る。この数値化した特徴量について、本物が特徴量を持
ち得る確率と、その確率との対応関係を特徴関数として
表すことができ、このときの確率を本物度と定義する。
Therefore, the characteristics relating to the transmittance and the reflectance can be obtained by using the image data of such a portion,
What is obtained and digitized is defined as a feature amount. With respect to the digitized feature quantity, the correspondence between the probability that the real thing can have the feature quantity and the probability can be expressed as a feature function, and the probability at this time is defined as the genuineness.

【0020】前記特徴関数は、本物度を算出するための
データであり、予め本物の基準特徴量のデータを解析し
て記憶しておく。この本物度を予め設定するときは本物
の書類の予め指定された複数の部位毎の基準特徴量から
求めた本物度抽出用の特徴関数からそれぞれ本物度を求
め、それらを全て掛け合わせた数値を、その書類の最終
的な本物度とすることができる。
The characteristic function is data for calculating the genuineness, and data of the genuine reference characteristic amount is analyzed and stored in advance. When setting this genuineness in advance, obtain the respective authenticity from the characteristic function for extracting the authenticity obtained from the reference feature amount for each of a plurality of predesignated parts of the genuine document, and calculate the numerical value obtained by multiplying them. , Can be the final authenticity of the document.

【0021】このように数値化して求めた本物度は、そ
の抽出過程で数値を掛け合せる程に「本物では1に」、
「偽物では0に」近くなるため、これらの数値結果から
真偽を正確に判別することができる。特に、多くの部位
の特徴量を設定する程、真偽判別データは高精度化し、
信頼性の高い判別結果が得られる。
The genuineness obtained by digitizing in this way is "1 in the real" as the multiplication is performed in the extraction process.
Since it is close to "0 in a fake", it is possible to accurately discriminate the truth from these numerical results. Especially, the more accurate the feature quantity of many parts is set, the more accurate the truth discrimination data becomes,
A highly reliable determination result can be obtained.

【0022】ことに、特徴関数を求める場合に、本物の
書類のデータのみから求めるものであり、多数の偽物サ
ンプルの収集やその解析をいちいち要していた既存の判
別手法とは異なるため、簡単に高判別処理機能を構築で
きる。
In particular, when the characteristic function is obtained, it is obtained only from the data of the genuine document, and it is different from the existing discrimination method that requires the collection and analysis of a large number of fake samples, so that it is easy. A high discrimination processing function can be built.

【0023】また、多くの本物の撮像画像から特徴量を
求め、その本物の特徴量の分布から特徴関数を定め、そ
うして定めた複数の特徴関数から本物度を求めるという
統計的手法を用いた演算処理を実現できることから、機
器や書類のバラツキから受ける影響が小さく、書類の真
偽を正確に判別することができる。
Further, a statistical method is used in which a characteristic amount is obtained from many real picked-up images, a characteristic function is determined from the distribution of the genuine characteristic amounts, and an authenticity is obtained from a plurality of thus determined characteristic functions. Since it is possible to realize the required arithmetic processing, it is possible to accurately discriminate the authenticity of the document, since the influence of the variation of the device and the document is small.

【0024】さらに、この場合に記憶しておく特徴関数
のデータ量は、既存の判別手法に用いられるサンプル画
像のデータ記憶量より格段に少ないため記憶容量が少な
くて済む。
Further, in this case, the data amount of the feature function to be stored is much smaller than the data storage amount of the sample image used in the existing discrimination method, so that the storage capacity can be small.

【0025】また、光源の種類を増やせば、判別性能を
一層向上させることができる。この場合は、追加した光
源を用いて取得した画像から新たな特徴量を求め、その
特徴関数を設定するだけでよく、特徴関数は独立してい
るため、それまでの特徴関数をそのまま有効に使用でき
る。このため、数値を掛け合せるだけで利用できるなど
拡張が容易である。
If the number of types of light sources is increased, the discrimination performance can be further improved. In this case, it is only necessary to obtain a new feature amount from the image acquired using the added light source and set the feature function. Since the feature functions are independent, the previous feature functions can be used effectively as they are. it can. For this reason, it is easy to expand, for example, it can be used simply by multiplying the numerical values.

【0026】したがって、特徴量の求め方と基準データ
とを全て設定し直すような手間がかからなくなる。この
ほかにも独立した特徴関数を、異なったパターンで組合
せることが可能であり、様々な判別基準を設けることが
できる。
Therefore, it is not necessary to reset the method of obtaining the characteristic amount and the reference data. In addition to this, independent feature functions can be combined in different patterns, and various discrimination criteria can be provided.

【0027】上述の特徴量は、撮像手段により撮像され
た画像から捉えるものであり、例えば免許証の場合であ
れば、その写真部分、あるいは文字の特定部分に限定
し、その輝度平均値の分布関数から求めるものであり、
免許証の表示面全体の輝度分布から求めるものではない
ので前記のような効果が生じる。
The above-mentioned characteristic amount is captured from the image picked up by the image pickup means. For example, in the case of a license, it is limited to the photograph part or a specific part of the character, and the distribution of the average brightness value thereof. Is obtained from a function,
Since it is not obtained from the luminance distribution of the entire display surface of the license, the above-mentioned effect is produced.

【0028】[0028]

【発明の実施の形態】この発明の一実施の形態を以下図
面に基づいて詳述する。図面は運転免許証などの書類の
真偽を判別する書類真偽判別装置を示し、図1に示すよ
うに、この書類真偽判別装置11は長方体に設けられた
装置本体12の上面に運転免許証(以下免許証と称す)な
どの書類の載置面13を設け、その上面に片開き式の開
閉蓋14を開閉可能に配設している。
BEST MODE FOR CARRYING OUT THE INVENTION An embodiment of the present invention will be described in detail below with reference to the drawings. The drawing shows a document authenticity discriminating apparatus for discriminating the authenticity of a document such as a driver's license. As shown in FIG. 1, the document authenticity discriminating apparatus 11 is provided on an upper surface of a device body 12 provided in a rectangular parallelepiped. A mounting surface 13 for documents such as a driver's license (hereinafter referred to as a license) is provided, and a single-opening-type opening / closing lid 14 is arranged on the upper surface so as to be opened and closed.

【0029】前記載置面13は、透過光と反射光を用い
て光学的に表示データを検出することにより、免許証の
真偽判別用の画像データを取得する画像取得機能を有し
ている。
The mounting surface 13 has an image acquisition function of acquiring image data for authenticity determination of a license by optically detecting display data using transmitted light and reflected light. .

【0030】前記画像を取得するために、平面的なガラ
ス面を設け、上記ガラスの上面に免許証の表面を下向き
にして載せ、その部分を画像取得位置に設定する。
In order to acquire the image, a flat glass surface is provided, and the surface of the license is placed on the upper surface of the glass with the surface facing downward, and that portion is set at the image acquisition position.

【0031】図2は上述の画像取得機能を有する書類真
偽判別装置11の内部構造を示す。この書類真偽判別装
置11に用いられる光源としては、前記開閉蓋14の下
面側に配設した透過用光源15と、装置本体12の内方
に配設した反射用光源16とを用いる。
FIG. 2 shows the internal structure of the document authenticity discrimination device 11 having the above-mentioned image acquisition function. As a light source used for the document authenticity discrimination device 11, a transmission light source 15 disposed on the lower surface side of the opening / closing lid 14 and a reflection light source 16 disposed inside the device body 12 are used.

【0032】そして、前記両光源からの光を載置面13
に導いて、載置面13上に平面的にセットされた図3に
示すような免許証17の画像を部分的に取得する。
Then, the light from both the light sources is placed on the mounting surface 13.
To partially acquire the image of the license 17 as shown in FIG. 3 which is set flat on the mounting surface 13.

【0033】透過用光源15には、可視光線の発光素子
15aと赤外線の発光素子15bとの2種類の波長の異
なる発光素子15a,15bを用いる。
As the light source 15 for transmission, two kinds of light emitting elements 15a and 15b having different wavelengths, that is, a visible light emitting element 15a and an infrared light emitting element 15b are used.

【0034】そして、透過時には載置面13上に載せら
れた免許証17の裏面側から表面側に向けて、透過光1
5cを開閉蓋14から真下に透過させる。
When transmitting, the transmitted light 1 is transmitted from the rear surface side of the license 17 mounted on the mounting surface 13 toward the front surface side.
5c is made to penetrate from the opening / closing lid 14 right below.

【0035】このとき、免許証17を真下に透過した透
過光15cは、その下方の位置に傾斜配設された反射鏡
18に当って垂直方向から水平方向へと略直角に屈折
し、略水平方向に向きを変えて、側方に対向するCCD
カメラ19へと導かれる。ここで、免許証17を透過し
た透過画像が取得される。
At this time, the transmitted light 15c that has passed directly under the license 17 hits the reflecting mirror 18 that is disposed at a position below it, is refracted at a substantially right angle from the vertical direction to the horizontal direction, and is substantially horizontal. CCD that turns sideways and faces sideways
It is led to the camera 19. Here, the transparent image that has passed through the license 17 is acquired.

【0036】一方、反射用光源16は、同様に可視光線
の発光素子16aと赤外線の発光素子16bとの2種類
の波長の異なる発光素子16a,16bを用いる。そし
て、反射時には載置面13上に載せられた免許証17の
表面側に向けて斜め下方から反射光16cを照射する。
On the other hand, the reflection light source 16 similarly uses two kinds of light emitting elements 16a and 16b having different wavelengths, that is, a visible light emitting element 16a and an infrared light emitting element 16b. Then, at the time of reflection, the reflected light 16c is emitted from obliquely downward toward the front side of the license 17 placed on the placing surface 13.

【0037】このとき、免許証17を斜め下方より斜め
上方に向けて照射した照射光は、免許証17の下向きの
表示面に当って略真下に反射する。その反射光16cは
下方の位置に傾斜配設された反射鏡18に当って垂直方
向から水平方向へと屈折し、略水平方向に向きを変え
て、側方に対向するCCDカメラ19に導かれ、ここで
免許証17より反射した反射画像が取得される。
At this time, the irradiation light emitted from the license 17 from diagonally downward to diagonally upward is incident on the downward-facing display surface of the license 17 and is reflected almost directly below. The reflected light 16c impinges on a reflecting mirror 18 which is disposed at a lower position, is refracted from a vertical direction to a horizontal direction, changes its direction in a substantially horizontal direction, and is guided to a CCD camera 19 facing sideways. Here, the reflection image reflected from the license 17 is acquired.

【0038】CCDカメラ19が取得した画像信号はA
/D(アナログ/デジタル)変換部20によってデジタル
データに変換し、画像データとして記憶部21にて記憶
する。この画像データは演算部22で演算処理した後、
その演算結果を表示部23で表示する。さらに、演算部
22には光源制御部24を接続しており、光源15,1
6別の画像取得の制御や光量制御などを行う。
The image signal acquired by the CCD camera 19 is A
A / D (analog / digital) conversion unit 20 converts the data into digital data, and the image data is stored in the storage unit 21. After this image data is arithmetically processed by the arithmetic unit 22,
The calculation result is displayed on the display unit 23. Further, a light source control unit 24 is connected to the arithmetic unit 22 so that the light sources 15, 1
The image acquisition control and the light amount control are performed for each of the six types.

【0039】このように構成された書類真偽判別装置1
1の画像取込み動作を図4のフローチャートを参照して
説明する。
Document authenticity determination device 1 configured as described above
The image capturing operation of No. 1 will be described with reference to the flowchart of FIG.

【0040】先ず、書類真偽判別装置11の開閉蓋14
を開け、その載置面13上に免許証17の写真面(表面)
側を下向きにして定位置にセットし、その後、開閉蓋1
4を閉じて利用者によるセットが完了する。このセット
完了後に、画像取得信号が入力されると、光源制御部2
4は反射用光源16のみを点灯させて、免許証17より
反射した反射光16aによる反射画像をCCDカメラ1
9より取込む(ステップn1〜n2)。
First, the opening / closing lid 14 of the document authenticity discriminating apparatus 11
Open and place the photo surface of the license 17 on the mounting surface 13
Set in place with the side facing down, then open and close lid 1
4 is closed and the setting by the user is completed. When the image acquisition signal is input after this setting is completed, the light source control unit 2
Reference numeral 4 indicates that the CCD camera 1 uses the reflected light 16a reflected from the license 17 by turning on only the reflection light source 16.
Capture from 9 (steps n1 to n2).

【0041】この反射画像の取込みに続いて光源制御部
24は、透過用光源15のみを点灯させて、載置面13
上より免許証17を透過させる。その透過光15aによ
る透過画像をCCDカメラ19より取込む(ステップn
3〜n4)。
Subsequent to the capture of the reflected image, the light source control section 24 turns on only the transmissive light source 15, and the mounting surface 13 is turned on.
Make the license 17 transparent from above. The transmitted image by the transmitted light 15a is captured by the CCD camera 19 (step n).
3 to n4).

【0042】画像取込み後は、演算部22において本物
の書類か偽造書類かどうかを真偽判別して求める。その
求めた結果を表示部23に表示出力する(ステップn
5)。
After the image is captured, the computing unit 22 determines whether the document is a genuine document or a forged document by making a true / false decision. The obtained result is displayed and output on the display unit 23 (step n
5).

【0043】上述の真偽判別に際しては、光源の光が免
許証17を透過したときの透過光、もしくは光源の光が
免許証17より反射したときの反射光を画像データとし
て取得することにより、真偽判別するための特徴量を求
めることができる。
In the above authenticity determination, the transmitted light when the light from the light source passes through the license 17 or the reflected light when the light from the light source is reflected from the license 17 is acquired as image data. It is possible to obtain the feature amount for authenticity discrimination.

【0044】すなわち、専用の印刷機で印刷された本物
の免許証17と、OA機器で複製された偽造の免許証と
では、インクや書面の特性が違うことから光の透過率や
反射率に差が生じる。さらに、この差は光の波長依存性
があるため波長によって、この差がかなり大きくなる特
徴的な部位が存在する。
That is, since the genuine license 17 printed by the dedicated printing machine and the forged license copied by the OA device have different ink and writing characteristics, the light transmittance and the reflectance are different. There is a difference. Further, since this difference depends on the wavelength of light, there is a characteristic portion where the difference becomes considerably large depending on the wavelength.

【0045】そこで、このような部位の画像データを用
いて透過率や反射率に関する特徴を求めることができ、
この特徴を求めて数値化したものを特徴量として定義す
る。さらに、数値化した特徴量について、本物が特徴量
を持ち得る確率と、その確率との対応関係を特徴関数と
して表すことができ、このときの確率を本物度と定義す
る。
Therefore, the characteristics relating to the transmittance and the reflectance can be obtained by using the image data of such a portion,
What is obtained and digitized is defined as a feature amount. Further, regarding the quantified feature quantity, the correspondence between the probability that the real thing may have the feature quantity and the probability can be expressed as a feature function, and the probability at this time is defined as the genuineness.

【0046】前記特徴関数は、本物度を算出するための
データであり、予め本物の基準特徴量のデータを解析し
て記憶しておく。この本物度を予め設定するときは、本
物の免許証17の予め指定された複数の部位(写真部
分、文字部分、境界部分など)毎の基準特徴量から求め
た特徴関数からそれぞれ本物度を求める。それらを全て
掛け合わせた数値を、その免許証17の最終的な本物度
とすることができる。
The characteristic function is data for calculating the genuineness, and the data of the genuine reference characteristic amount is analyzed and stored in advance. When presetting the genuineness degree, the genuineness degree is individually obtained from the characteristic function obtained from the reference feature amount for each of a plurality of predesignated parts of the real license 17 (photograph portion, character portion, boundary portion, etc.). . The value obtained by multiplying them all can be the final genuineness of the license 17.

【0047】このように数値化して求めた本物度は、そ
の抽出過程で数値を掛け合せる程に「本物では1に」、
「偽物では0に」近くなるため、これらの数値結果から
真偽を正確に判別することができる。特に、多くの部位
の基準特徴量を設定する程、真偽判別データは高精度化
し、信頼性の高い判別結果が得られる。
The actual degree obtained by digitizing in this way is "1 in the real article" as the numerical values are multiplied in the extraction process.
Since it is close to "0 in a fake", it is possible to accurately discriminate the truth from these numerical results. In particular, as the reference feature amount of many parts is set, the accuracy of the true / false determination data becomes higher, and a highly reliable determination result can be obtained.

【0048】ことに、特徴関数を求める場合に、本物の
免許証17のデータのみから求めるものであり、多数の
偽物サンプルやその解析を要しないため、簡単に真偽判
別機能を構築できる。
In particular, when the characteristic function is obtained, it is obtained only from the data of the real license 17, and since a large number of fake samples and their analysis are not required, the authenticity discrimination function can be easily constructed.

【0049】次に、免許証17の真偽判別時の演算処理
内容について説明する。この真偽判別処理の基になるデ
ータは、CCDカメラ19が取得した反射画像および透
過画像であり、これらから本物と偽物とが異なる部分の
特徴量を抽出することである。
Next, a description will be given of the arithmetic processing contents when the authenticity of the license 17 is determined. The data which is the basis of this authenticity discrimination processing is the reflection image and the transmission image acquired by the CCD camera 19, and the feature amount of the portion where the genuine article and the counterfeit article are different is extracted from these.

【0050】例えば、反射用光源16に赤外線を用いた
場合は、可視光線に比べて画像データに濃度差が生じる
場合があることから特徴量として写真部分の輝度平均値
を選ぶことができる。そして、この特徴量に対する本物
度との関係を、予め特徴関数として求めておく。
For example, when infrared rays are used as the light source 16 for reflection, a density difference may occur in image data as compared with visible light. Therefore, the average luminance value of the photographic portion can be selected as the feature amount. Then, the relationship between the feature amount and the genuineness is obtained in advance as a feature function.

【0051】図5は代表的な特徴関数として表される形
状例を示す。この特徴関数は、本物の基準特徴量のデー
タを取得することで実験的に求めることができる。
FIG. 5 shows an example of a shape represented as a typical feature function. This feature function can be experimentally obtained by acquiring the data of the genuine reference feature amount.

【0052】例えば、赤外線を用いて取得した反射画像
における写真部分の輝度平均値を特徴量とした場合、特
徴関数は、図5(A)に示すように、特徴量の増大に比例
して本物度が高まるような形状になる。
For example, when the average value of the brightness of the photograph portion in the reflection image acquired by using infrared rays is used as the characteristic amount, the characteristic function is, as shown in FIG. The shape will increase.

【0053】また、透過画像における、ある領域の輝度
平均値を特徴量とした場合、特徴関数は、図5(B)に示
すように、特徴量が高くなくても高精度の本物度が得ら
れる形状になる。
Further, when the average luminance value of a certain area in the transmission image is used as the feature amount, the feature function can obtain a highly accurate genuineness as shown in FIG. 5B even if the feature amount is not high. It becomes the shape.

【0054】さらに、例えば赤外線による反射画像にお
ける文字部分の輝度平均値を特徴量とした場合、特徴関
数は、図5(C)に示すように、特徴量が低くても高精度
の本物度が得られる形状になる。このような特徴関数か
ら本物度を算出する方法を次に示す。また、そのときの
本物度の算出による真偽判別処理動作を図6のフローチ
ャートを参照して説明する。
Further, when the average value of the brightness of the character portion in the reflection image by infrared rays is used as the characteristic amount, the characteristic function has a high accuracy as shown in FIG. 5C, even if the characteristic amount is low. The resulting shape. A method of calculating the genuineness degree from such a characteristic function will be described below. The authenticity determination processing operation by calculating the genuineness at that time will be described with reference to the flowchart of FIG.

【0055】演算部22は、赤外線、可視光線等、波長
の異なる複数の光源の反射光で撮像した反射画像におけ
る特徴量をa1,a2,…,amとし、そのときの各特
徴量に対応する特徴関数をf1,f2,…,fmとする
(ステップn11)。
The calculation unit 22 sets a1, a2, ..., Am as the feature quantity in the reflection image picked up by the reflected light of a plurality of light sources having different wavelengths such as infrared rays and visible rays, and corresponds to each feature quantity at that time. Let the characteristic functions be f1, f2, ..., fm
(Step n11).

【0056】また、赤外線、可視光線等、波長の異なる
複数の光源の透過光で撮像した透過画像における特徴量
をb1,b2,…,bnとし、そのときの各特徴量に対
応する特徴関数をg1,g2,…,gnとすると(ステ
ップn12)、反射画像の各特徴量に対する本物度は、
f1(a1),f2(a2),…,fm(am)で表すことが
でき、透過画像の各特徴量に対する本物度は、g1(b
1),g2(b2),…,gn(bn)で表すことができる
(ステップn13)。
Further, the characteristic quantities in the transmitted image taken by the transmitted light of a plurality of light sources having different wavelengths such as infrared rays and visible rays are designated as b1, b2, ..., Bn, and the characteristic function corresponding to each characteristic quantity at that time is defined. If g1, g2, ..., Gn (step n12), the realness for each feature amount of the reflection image is
f1 (a1), f2 (a2), ..., fm (am) can be represented, and the authenticity for each feature amount of the transmission image is g1 (b
1), g2 (b2), ..., gn (bn)
(Step n13).

【0057】この結果、最終的な免許証の本物度Gr
を、これら全ての積として次式のように定義することが
できる(ステップn14)。
As a result, the genuineness of the final license Gr
Can be defined as the product of all of these (step n14).

【0058】[0058]

【数1】 また、免許証の本物度は単色光のみ本物度で判定しても
よいし、また波長の異なる複数種類の光源での本物度で
判定してもよい。
[Equation 1] The genuineness of the license may be determined by the genuineness of monochromatic light only, or by the authenticity of a plurality of types of light sources having different wavelengths.

【0059】この本物度Grは本物で1に、偽物で0に
近い値となるので、あるしきい値を設定し(ステップn
15)、この設定したしきい値により真偽を判定する。
このときは本物度がしきい値より大きいとき、本物と判
定し(ステップn16)、そうでないとき偽物と判定する
ことができる(ステップn17)。
Since this genuineness value Gr has a value close to 1 for a genuine product and close to 0 for a fake product, a certain threshold value is set (step n).
15) Then, the authenticity is judged by the set threshold value.
At this time, when the genuineness degree is larger than the threshold value, it can be determined as a genuine article (step n16), and when not, it can be determined as a fake article (step n17).

【0060】また、このようなしきい値を設定せずに本
物度を結果として表示し、この値に基づいてオペレータ
が真偽を判定するようにしてもよい。
Alternatively, the genuineness may be displayed as a result without setting such a threshold, and the operator may judge the authenticity based on this value.

【0061】前記[数1]によって本物度を求める方法で
は、各特徴量に対する本物度は他に対して完全に独立で
あり、またそれぞれが対等であるので、特徴量を増やし
て判別性能の向上を図る場合、その特徴量に対する特徴
関数のみ定めて新たに掛け合せれば求めることができる
ため、拡張性に優れる利点がある。
In the method for obtaining the genuineness degree by the above [Formula 1], since the genuineness degree for each feature amount is completely independent of each other and each is equal, the feature amount is increased to improve the discrimination performance. In order to achieve the above, since it can be obtained by newly defining only the feature function for the feature quantity and newly multiplying it, there is an advantage of excellent expandability.

【0062】このような方法により、複写機による免許
証の複写や、スキャナで取込んだ免許証の画像を出力し
てプリントアウトした印刷物、または本物の免許証に文
字や写真を貼り付けたものを、偽物として判別すること
ができる。
By such a method, the license is copied by a copying machine, the licensed image captured by the scanner is output and printed out, or the actual license is pasted with characters and photographs. Can be discriminated as a fake.

【0063】上述のように、本物の撮像画像から特徴量
を求め、その本物の特徴量の分布から特徴関数を定め
る。そうして定めた複数の特徴関数から本物度を求める
という統計的手法を用いた演算処理を実現できることか
ら、機器や免許証のバラツキから受ける影響が小さく、
免許証の真偽を正確に判別することができる。
As described above, the feature amount is obtained from the real captured image, and the feature function is determined from the distribution of the real feature amount. Since it is possible to implement arithmetic processing using a statistical method of obtaining the genuineness from a plurality of feature functions defined in this way, the influence of variations in equipment and license is small,
The authenticity of the license can be accurately determined.

【0064】この発明と、上述の一実施の形態の構成と
の対応において、この発明の書類は、実施の形態の免許
証17に対応し、以下同様に、光源は、透過用光源15
と反射用光源16とに対応し、撮影手段は、CCDカメ
ラ19に対応し、算出手段および本物度抽出手段は、演
算部22に対応し、記憶手段は、記憶部21に対応し、
出力手段は、表示部23に対応するも、この発明は、請
求項に示される技術思想に基づいて応用することがで
き、上述の一実施の形態の構成のみに限定されるもので
はない。
In the correspondence between the present invention and the configuration of the above-described one embodiment, the document of the present invention corresponds to the license 17 of the embodiment, and hereinafter, similarly, the light source is the transmission light source 15.
And the light source 16 for reflection, the photographing means corresponds to the CCD camera 19, the calculation means and the genuineness degree extraction means correspond to the calculation section 22, the storage means corresponds to the storage section 21,
The output unit corresponds to the display unit 23, but the present invention can be applied based on the technical idea shown in the claims, and is not limited to the configuration of the above-described one embodiment.

【発明の効果】この発明によれば、高精度に真偽判別で
きる特徴関数を見出したことにより、信頼性の高い安定
した真偽判別ができる。
According to the present invention, since a characteristic function capable of highly accurately determining authenticity can be found, highly reliable and stable authenticity determination can be performed.

【図面の簡単な説明】[Brief description of drawings]

【図1】 この発明の書類真偽判別装置の外観斜視図。FIG. 1 is an external perspective view of a document authenticity determination device of the present invention.

【図2】 この発明の書類真偽判別装置の概略構成図。FIG. 2 is a schematic configuration diagram of a document authenticity determination device of the present invention.

【図3】 この発明の書類真偽判別装置に用いた免許証
を示す概略平面図。
FIG. 3 is a schematic plan view showing a license used in the document authenticity determination device of the present invention.

【図4】 この発明の書類真偽判別装置の画像取込み処
理動作を示すフローチャート。
FIG. 4 is a flowchart showing an image capturing process operation of the document authenticity discriminating apparatus of the present invention.

【図5】 この発明の赤外光における特徴関数の形状例
を示す説明図。
FIG. 5 is an explanatory diagram showing an example of the shape of a feature function in infrared light according to the present invention.

【図6】 この発明の波長の異なる複数種類の光源にお
ける真偽判別処理動作を示すフローチャート。
FIG. 6 is a flowchart showing the authenticity determination processing operation in a plurality of types of light sources having different wavelengths according to the present invention.

【符号の説明】[Explanation of symbols]

11…書類真偽判別装置 15…透過用光源 16…反射用光源 17…免許証 19…CCDカメラ 21…記憶部 22…演算部 23…表示部 11 ... Document authenticity determination device 15 ... Light source for transmission 16 ... Reflection light source 17 ... License 19 ... CCD camera 21 ... Storage unit 22 ... Operation unit 23 ... Display

───────────────────────────────────────────────────── フロントページの続き (72)発明者 濱崎 敏也 京都市下京区塩小路通堀川東入南不動堂町 801番地 オムロン株式会社内 (72)発明者 藤井 徹 京都市下京区塩小路通堀川東入南不動堂町 801番地 オムロン株式会社内 Fターム(参考) 3E041 AA10 BA11 BB02 BB03 BB05 BB06 BC03 DB01 EA03 5B057 AA11 BA02 BA19 DA12 DB02 DB09 DC22 DC34 DC38 5C077 LL14 MM03 MP04 PP46 PP55 PQ12 PQ19 5L096 AA06 BA03 CA02 CA17 GA51 HA07 JA03 JA11    ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Toshiya Hamasaki             Shimogyo-ku, Kyoto-shi Shioji-dori Horikawa Higashiiri Minamifudo-cho             801 OMRON Corporation (72) Inventor Toru Fujii             Shimogyo-ku, Kyoto-shi Shioji-dori Horikawa Higashiiri Minamifudo-cho             801 OMRON Corporation F term (reference) 3E041 AA10 BA11 BB02 BB03 BB05                       BB06 BC03 DB01 EA03                 5B057 AA11 BA02 BA19 DA12 DB02                       DB09 DC22 DC34 DC38                 5C077 LL14 MM03 MP04 PP46 PP55                       PQ12 PQ19                 5L096 AA06 BA03 CA02 CA17 GA51                       HA07 JA03 JA11

Claims (6)

【特許請求の範囲】[Claims] 【請求項1】書類の真偽を判別する書類真偽判別装置で
あって、波長の異なる複数種類の光源と、前記複数種類
の光源の光が書類を透過する透過光または書類に照射し
て反射する反射光との少なくとも一方を受光して書類を
撮像する撮像手段と、前記撮像手段を用いて撮像した前
記光源別の撮像画像から被判別書類の予め指定された複
数の部位の特徴量を算出する算出手段と、前記算出手段
を用いて算出した基準となる書類の基準特徴量から求め
た本物度抽出用の特徴関数を記憶する記憶手段と、前記
算出手段を用いて算出した被判別書類の特徴量と前記記
憶手段に予め記憶された特徴関数とから被判別書類の本
物度を抽出する本物度抽出手段と、を備えた書類真偽判
別装置。
1. A document authenticity discriminating apparatus for discriminating the authenticity of a document, which comprises a plurality of types of light sources having different wavelengths, and the light of the plurality of types of light sources illuminates the transmitted light or the document transmitted through the document. An image pickup unit that receives at least one of the reflected light that is reflected and picks up an image of the document, and a feature amount of a plurality of predesignated portions of the document to be discriminated from the picked-up image of each light source taken by the image pickup unit. Calculating means for calculating, storage means for storing a characteristic function for genuineness extraction obtained from the reference characteristic amount of the document serving as a reference calculated by the calculating means, and the document to be discriminated calculated by the calculating means A document authenticity discriminating apparatus including: a genuineness degree extracting unit that extracts the genuineness degree of a document to be discriminated from the feature amount of the above and the characteristic function stored in advance in the storage unit.
【請求項2】書類の真偽を判別する書類真偽判別装置で
あって、波長の異なる複数種類の光源と、前記複数種類
の光源の光が書類を透過する透過光および書類に照射し
て反射する反射光との双方を受光して書類を撮像する撮
像手段と、前記撮像手段を用いて撮像した前記光源別の
撮像画像から被判別書類の予め指定された複数の部位の
特徴量を算出する算出手段と、前記算出手段を用いて算
出した基準となる書類の基準特徴量から求めた本物度抽
出用の特徴関数を記憶する記憶手段と、前記算出手段を
用いて算出した被判別書類の特徴量と前記記憶手段に予
め記憶された特徴関数とから本物度を光源別にそれぞれ
数値化して算出し、その算出した本物度数を乗算して本
物度を抽出する本物度抽出手段と、を備えた書類真偽判
別装置。
2. A document authenticity discriminating apparatus for discriminating the authenticity of a document, comprising a plurality of types of light sources having different wavelengths, and light of the plurality of types of light sources irradiating the transmitted light passing through the document and the document. An image pickup unit that receives both the reflected light and the reflected light, and calculates the feature amount of a plurality of predesignated parts of the document to be discriminated from the imaged image of each light source picked up by the image pickup unit. Calculation means, storage means for storing a feature function for authenticity extraction obtained from the reference feature amount of the reference document calculated using the calculation means, and the document to be discriminated calculated using the calculation means. And a genuineness degree extracting means for extracting the genuineness degree by multiplying the calculated genuineness degree by numerically calculating the genuineness degree for each light source from the feature quantity and the characteristic function stored in advance in the storage means. Document authenticity determination device.
【請求項3】前記特徴関数は、基準となる複数の異なる
書類から求めた基準特徴量の分布を集計して構成したこ
とを特徴とする請求項1または2記載の書類真偽判別装
置。
3. The document authenticity discriminating apparatus according to claim 1, wherein the characteristic function is configured by aggregating distributions of reference characteristic amounts obtained from a plurality of different reference documents.
【請求項4】前記被判別書類の特徴量と、予め記憶され
た前記特徴関数から算出した前記本物度を、前記記憶手
段に記憶されている基準特徴量から設定されたしきい値
と比較し、この比較して求めた真偽判別結果を出力する
出力手段を備えた請求項1または2記載の書類真偽判別
装置。
4. The feature amount of the document to be discriminated and the genuineness degree calculated from the feature function stored in advance are compared with a threshold value set from a reference feature amount stored in the storage means. 3. The document authenticity discriminating apparatus according to claim 1 or 2, further comprising an output means for outputting the authenticity discrimination result obtained by the comparison.
【請求項5】書類の真偽を判別する書類真偽判別方法で
あって、波長の異なる複数種類の光源と、前記複数種類
の光源の光が書類を透過する透過光と書類に照射して反
射する反射光との少なくとも一方を受光して書類を撮像
する撮像ステップと、前記撮像ステップで撮像した前記
光源別の撮像画像から被判別書類の予め指定された複数
の部位の特徴量を算出する算出ステップと、前記算出ス
テップで算出した基準となる書類の基準特徴量から求め
た本物度抽出用の特徴関数を記憶する記憶ステップと、
前記算出ステップで算出した被判別書類の特徴量と前記
記憶ステップに予め記憶された特徴関数とから被判別書
類の本物度を抽出する本物度抽出ステップと、を備えた
書類真偽判別方法。
5. A document authenticity discrimination method for discriminating the authenticity of a document, the method comprising: illuminating a document with a plurality of types of light sources having different wavelengths; An image capturing step of receiving at least one of the reflected light reflected and an image of the document, and a feature amount of a plurality of predesignated portions of the document to be discriminated is calculated from the captured image of each light source captured in the image capturing step. A calculating step, and a storing step of storing a characteristic function for extracting a genuineness degree obtained from a reference characteristic amount of a document as a reference calculated in the calculating step,
A document authenticity discriminating method comprising: a genuineness degree extracting step of extracting a genuineness degree of a discriminating document from the characteristic amount of the discriminating document calculated in the calculating step and the characteristic function stored in advance in the storing step.
【請求項6】書類の真偽を判別する書類真偽判別方法で
あって、波長の異なる複数種類の光源と、前記複数種類
の光源の光が書類を透過する透過光および書類に照射し
て反射する反射光との双方を受光して書類を撮像する撮
像ステップと、前記撮像ステップで撮像した前記光源別
の撮像画像から被判別書類の予め指定された複数の部位
の特徴量を算出する算出ステップと、前記算出ステップ
で算出した基準となる書類の基準特徴量から求めた本物
度抽出用の特徴関数を記憶する記憶ステップと、前記算
出ステップで算出した被判別書類の特徴量と前記記憶ス
テップに予め記憶された特徴関数とから本物度を光源別
にそれぞれ数値化して算出し、その算出した本物度数を
乗算して被判別書類の本物度を抽出する本物度抽出ステ
ップと、を備えた書類真偽判別方法。
6. A document authenticity discrimination method for discriminating the authenticity of a document, comprising a plurality of types of light sources having different wavelengths, and the light of the plurality of types of light sources irradiating the transmitted light passing through the document and the document. An image capturing step of receiving both reflected light and an image of a document, and a calculation of calculating feature amounts of a plurality of predesignated parts of the document to be discriminated from imaged images of the light sources captured in the image capturing step. Step, a storage step of storing a feature function for authenticity extraction obtained from the reference feature amount of the reference document calculated in the calculating step, a feature amount of the document to be discriminated calculated in the calculating step, and the storing step And a genuineness degree extraction step of extracting the genuineness degree of the document to be discriminated by multiplying the calculated genuineness degree by the light source and the characteristic function stored in advance in each of the light sources. S authenticity discrimination method.
JP2002349499A 2001-12-13 2002-12-02 Document authenticity discrimination apparatus and method Expired - Fee Related JP3963826B2 (en)

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JP2001-379374 2001-12-13
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