JP2002312772A - Individual identification device and eye forgery judgment method - Google Patents
Individual identification device and eye forgery judgment methodInfo
- Publication number
- JP2002312772A JP2002312772A JP2001115175A JP2001115175A JP2002312772A JP 2002312772 A JP2002312772 A JP 2002312772A JP 2001115175 A JP2001115175 A JP 2001115175A JP 2001115175 A JP2001115175 A JP 2001115175A JP 2002312772 A JP2002312772 A JP 2002312772A
- Authority
- JP
- Japan
- Prior art keywords
- density
- eye
- reference value
- difference
- forged
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims description 13
- 238000000605 extraction Methods 0.000 claims abstract description 58
- 239000000284 extract Substances 0.000 claims abstract description 33
- 238000005286 illumination Methods 0.000 claims abstract description 17
- 230000002093 peripheral effect Effects 0.000 claims description 27
- 238000003384 imaging method Methods 0.000 claims description 19
- 230000004069 differentiation Effects 0.000 claims description 5
- 230000001678 irradiating effect Effects 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 2
- 210000001747 pupil Anatomy 0.000 abstract description 20
- 210000003786 sclera Anatomy 0.000 abstract description 8
- 210000001508 eye Anatomy 0.000 description 230
- 238000010586 diagram Methods 0.000 description 26
- 210000000744 eyelid Anatomy 0.000 description 6
- 210000000720 eyelash Anatomy 0.000 description 5
- 230000000694 effects Effects 0.000 description 2
- 210000004709 eyebrow Anatomy 0.000 description 2
- 208000016339 iris pattern Diseases 0.000 description 2
- 210000003205 muscle Anatomy 0.000 description 2
- 241001469893 Oxyzygonectes dovii Species 0.000 description 1
- 210000005252 bulbus oculi Anatomy 0.000 description 1
- 210000004087 cornea Anatomy 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
- 239000010703 silicon Substances 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
Landscapes
- Image Analysis (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Image Input (AREA)
Abstract
Description
【0001】[0001]
【発明の属する技術分野】本発明は、金融機関等におい
て個人を識別するための個人識別装置に関し、特に、撮
像対象の眼が偽造されているか否かを判定することが可
能な個人識別装置及び判定方法に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a personal identification device for identifying an individual in a financial institution or the like, and more particularly, to a personal identification device capable of determining whether or not an eye to be imaged is forged. Related to the determination method.
【0002】[0002]
【従来の技術】個人識別装置は、金融機関の顧客の如き
被撮像者の眼及びその周辺をカメラにて撮像し、得られ
た眼画像から、例えば眼の虹彩のデータを生成し、この
虹彩データを予め登録しておいた登録虹彩データと照合
することにより、被撮像者が本人であるか否かを識別す
る構成を備えている。2. Description of the Related Art A personal identification device captures an image of an eye of a person to be imaged, such as a customer of a financial institution, and the periphery thereof with a camera, and generates, for example, iris data of the eye from the obtained eye image. A configuration is provided in which the data is compared with registered iris data registered in advance to identify whether or not the person to be imaged is the subject.
【0003】[0003]
【発明が解決しようとする課題】ところで、従来の個人
識別装置では、第三者が眼として義眼を装着し、あるい
は本人の眼を写した写真等を用いてカメラの前に立ち、
本人になりすます場合、これらの偽造を見逃す虞れがあ
った。By the way, in the conventional personal identification device, a third party wears a prosthetic eye as an eye or stands in front of a camera using a photograph of the person's eyes.
In the case of impersonating, there is a risk that these counterfeits may be overlooked.
【0004】[0004]
【課題を解決するための手段】本発明はこのような点を
解決すべく次のような構成を備える。即ち、本発明は、
被撮像者の眼の眼画像を撮像するための撮像手段と、撮
像された眼画像の少なくとも一以上の特定領域の濃度を
抽出する濃度抽出部と、偽造した眼及び予め得ていた人
の眼の各画像の対応する特定領域の各濃度に基づいて作
成された濃度基準値が格納されている濃度基準値記憶部
と、抽出された濃度と濃度基準値記憶部の濃度基準値と
を比較して偽造された眼か否かを判定する判定部と、を
含むことを特徴とする。The present invention has the following arrangement in order to solve such a problem. That is, the present invention
Imaging means for capturing an eye image of an eye of a subject, a density extraction unit for extracting the density of at least one or more specific regions of the captured eye image, forged eyes and previously obtained human eyes The density reference value storage unit storing the density reference values created based on the respective densities of the corresponding specific regions of the respective images is compared with the extracted density and the density reference value in the density reference value storage unit. A determination unit that determines whether the eye is a falsified eye.
【0005】また、他の発明は、被撮像者の眼の眼画像
を撮像するための撮像手段と、撮像された眼画像の複数
の特定領域の各濃度を抽出する濃度抽出部と、偽造した
眼の画像の対応する複数の特定領域の濃度差と予め得て
いた人の眼の画像の対応する複数の特定領域の濃度差と
に基づいて作成された濃度差基準値が格納されている濃
度差基準値記憶部と、抽出された複数の特定領域の濃度
の差を抽出する濃度差抽出部と、該抽出された濃度差と
濃度差基準値記憶部の濃度差基準値とを比較して偽造さ
れた眼か否かを判定する判定部と、を含むことを特徴と
する。According to another aspect of the present invention, an image pickup means for picking up an eye image of an eye of a person to be imaged, a density extracting unit for extracting respective densities of a plurality of specific regions of the picked-up eye image, and a forgery. A density storing a density difference reference value created based on a density difference between a plurality of corresponding specific regions of the eye image and a density difference of the corresponding plurality of specific regions of the human eye image obtained in advance. A difference reference value storage unit, a density difference extraction unit that extracts a difference in density between the extracted plurality of specific regions, and a comparison between the extracted density difference and a density difference reference value of the density difference reference value storage unit. A determination unit that determines whether the eye is a forged eye.
【0006】他の発明は、被撮像者の眼の眼画像を撮像
するための撮像手段と、撮像された眼画像の複数の特定
領域の各濃度を抽出する濃度抽出部と、偽造した眼の画
像の対応する複数の特定領域の濃度比と予め得ていた人
の眼の画像の対応する複数の特定領域の濃度比とに基づ
いて作成された濃度比基準値が格納されている濃度比基
準値記憶部と、抽出された複数の特定領域の濃度の比を
抽出する濃度比抽出部と、該抽出された濃度比と濃度比
基準値記憶部の濃度比基準値とを比較して偽造された眼
か否かを判定する判定部と、を含むことを特徴とする。According to another aspect of the present invention, there is provided an image pickup means for picking up an eye image of an eye of a person to be imaged, a density extracting section for extracting respective densities of a plurality of specific regions of the picked-up eye image, and a forged eye. A density ratio reference stored with a density ratio reference value created based on the density ratios of the corresponding specific regions of the image and the density ratios of the corresponding specific regions of the human eye image obtained in advance. A value storage unit, a density ratio extraction unit that extracts the ratio of the densities of the plurality of extracted specific regions, and a forgery that compares the extracted density ratio with the density ratio reference value of the density ratio reference value storage unit. And a determining unit for determining whether or not the eye is irritated.
【0007】他の発明は、被撮像者の眼の眼画像を撮像
するための撮像手段と、撮像された眼画像の少なくとも
一以上の特定領域を抽出する領域抽出部と、偽造した眼
及び予め得ていた人の眼の各画像の対応する特定領域の
各濃度を微分して得た濃度微分値に基づいて作成された
濃度微分基準値が格納されている濃度微分基準値記憶部
と、抽出された特定領域の濃度を微分する濃度微分抽出
部と、該抽出した濃度微分値と濃度微分基準値記憶部の
濃度微分値とを比較して偽造された眼か否かを判定する
判定部と、を含むことを特徴とする。According to another aspect of the present invention, there is provided an image pickup means for picking up an eye image of a subject's eye, an area extracting unit for extracting at least one or more specific areas of the picked-up eye image, A density differential reference value storage unit that stores a density differential reference value created based on a density differential value obtained by differentiating each density of a corresponding specific region of each image of the human eye, A density differential extraction unit for differentiating the density of the specific region, and a determination unit for comparing the extracted density differential value with the density differential value of the density differential reference value storage unit to determine whether the eye is forged. , Is included.
【0008】他の発明は、被撮像者の眼の眼画像を撮像
するための撮像手段と、撮像された眼画像の複数の特定
領域を抽出する領域抽出部と、偽造した眼の画像の対応
する複数の特定領域の各濃度を微分して得た濃度微分値
の差と予め得ていた人の眼の画像の対応する複数の特定
領域の各濃度を微分して得た濃度微分値の差とに基づい
て作成された濃度微分差基準値が格納されている濃度微
分差基準値記憶部と、抽出された複数の特定領域の各濃
度を微分して濃度微分値差を抽出する濃度微分差抽出部
と、該抽出された濃度微分値差と濃度微分差基準値記憶
部の濃度微分差基準値とを比較して偽造された眼か否か
を判定する判定部と、を含むことを特徴とする。According to another aspect of the present invention, there is provided an image pickup means for picking up an eye image of a subject's eye, an area extracting unit for extracting a plurality of specific areas of the picked-up eye image, and correspondence of a forged eye image. The difference between the density differential value obtained by differentiating each density of a plurality of specific areas and the density differential value obtained by differentiating each density of a plurality of specific areas corresponding to a previously obtained human eye image And a density differential difference reference value storage unit that stores density differential difference reference values created based on the density differential difference extracting a density differential value difference by differentiating each density of the extracted plurality of specific regions. An extraction unit, and a determination unit that determines whether the eye is a forged eye by comparing the extracted density differential value difference with the density differential difference reference value of the density differential difference reference value storage unit. And
【0009】他の発明は、被撮像者の眼の眼画像を撮像
するための撮像手段と、撮像された眼画像の複数の特定
領域を抽出する領域抽出部と、偽造した眼の画像の対応
する複数の特定領域の各濃度を微分して得た濃度微分値
の比と予め得ていた人の眼の画像の対応する複数の特定
領域の各濃度を微分して得た濃度微分値の比とに基づい
て作成された濃度微分比基準値が格納されている濃度微
分比基準値記憶部と、抽出された複数の特定領域の各濃
度を微分して濃度微分値比を抽出する濃度微分比抽出部
と、該抽出された濃度微分値比と濃度微分比基準値記憶
部の濃度微分比基準値とを比較して偽造された眼か否か
を判定する判定部と、を含むことを特徴とする。According to another aspect of the present invention, there is provided an image pickup means for picking up an eye image of a subject's eye, an area extracting unit for extracting a plurality of specific areas of the picked-up eye image, and a correspondence between a forged eye image. The ratio of the density differential value obtained by differentiating each density of a plurality of specific areas to the density differential value obtained by differentiating each density of a plurality of specific areas corresponding to a previously obtained human eye image And a density differential ratio reference value storage unit that stores a density differential ratio reference value created based on the above, and a density differential ratio that extracts a density differential value ratio by differentiating each density of the extracted plurality of specific regions. An extracting unit, and a determining unit for comparing the extracted density differential value ratio with the density differential ratio reference value of the density differential ratio reference value storage unit to determine whether the eye is a forged eye. And
【0010】他の発明は、被撮像者の眼の眼画像を撮像
するための撮像手段と、撮像された眼画像の少なくとも
一以上の特定領域を抽出する領域抽出部と、偽造した眼
及び予め得ていた人の眼の各画像の対応する特定領域の
各濃度を空間周波数変換して得た空間周波数値に基づい
て作成された空間周波数基準値が格納されている空間周
波数基準値記憶部と、抽出された特定領域の濃度を空間
周波数に変換して空間周波数値を抽出する抽出部と、該
抽出した空間周波数値と空間周波数基準値記憶部の空間
周波数値とを比較して偽造された眼か否かを判定する判
定部と、を含むことを特徴とする。According to another aspect of the present invention, there is provided an image pickup means for picking up an eye image of an eye of a person to be imaged, an area extracting section for extracting at least one or more specific areas of the picked-up eye image, A spatial frequency reference value storage unit that stores a spatial frequency reference value created based on a spatial frequency value obtained by spatial frequency conversion of each density of a corresponding specific region of each image of the human eye that has been obtained; And an extraction unit that converts the density of the extracted specific region into a spatial frequency to extract a spatial frequency value, and compares the extracted spatial frequency value with the spatial frequency value of the spatial frequency reference value storage unit and is forged. A determination unit for determining whether the eye is the eye or not.
【0011】上記各発明において、偽造した眼は、義眼
や写真上の眼あるいは印刷物上の眼のいずれかが考えら
れ、又得られた眼画像に特定領域として眼の周辺部を含
ませるのが好ましい。また、各発明を相互に組み合わせ
て眼を判定するようにしてもよい。更に、波長の相違す
る光を照射する複数の照明手段を設け、各照明手段によ
り光を照射する毎に眼画像を取得し、各眼画像毎に濃度
等に基づいて眼が偽造であるか否かを判定するようにし
てもよい。In each of the above inventions, the forged eye may be any of a prosthetic eye, an eye on a photograph, or an eye on a printed matter, and the obtained eye image may include a peripheral portion of the eye as a specific region. preferable. Further, the eyes may be determined by combining the respective inventions with each other. Further, a plurality of illuminating means for irradiating light having different wavelengths is provided, and an eye image is acquired each time light is illuminated by each illuminating means. May be determined.
【0012】また、人の眼は曲面構造を有しているの
で、一対の対向配置の照明手段により眼及びその周辺に
陰が生じるように光をそれぞれ照射し、撮像手段にて取
得した各眼画像のそれぞれの濃度領域を照合して、例え
ば、各眼画像の対称領域において濃度が相違すると、本
人の眼と判定し、濃度がほぼ一致すると、写真上の偽造
した眼と判定してもよい。この判定方法は上記各発明と
組み合わせて用いられる。Also, since the human eye has a curved surface structure, each of the eyes is illuminated by a pair of illuminating means arranged opposite to each other so as to produce shadows in the eye and its surroundings, and each eye is obtained by the imaging means. By comparing each density region of the image, for example, if the density is different in the symmetric region of each eye image, it is determined that the eye is the person's eye, and if the densities are almost the same, it may be determined that the eye is a forged eye on a photograph. . This determination method is used in combination with the above inventions.
【0013】[0013]
【発明の実施の形態】以下、本発明の実施の形態を図面
を参照して詳細に説明する。 〈具体例1〉図1は本発明の具体例1に係る個人識別装
置のブロック図である。この個人識別装置は、被撮像者
の顔に光を照射するための照明手段1と、被撮像者の眼
を中心とする顔を撮像するカメラ2と、照明手段1及び
カメラ2が接続されている制御部3と、制御部3に接続
されているメモリ4及び眼部位抽出部5と、眼部位抽出
部5に接続されている濃度抽出部6と、濃度抽出部6に
接続されている判定部7と、判定部7に接続されている
濃度基準値メモリ8とを備えている。またメモリ4の出
力側には照合部9が接続され、制御部3には更に登録デ
ータベース10が接続されている。照明手段1は制御部
3の制御で動作し、近赤外光を照射する。カメラ2はそ
の撮像により顔の眼を含む眼画像(データ)を制御部3
に出力する。制御部3は眼画像をメモリ4に記憶させる
と共に、眼部位抽出部5を作動させる。Embodiments of the present invention will be described below in detail with reference to the drawings. <Embodiment 1> FIG. 1 is a block diagram of a personal identification device according to Embodiment 1 of the present invention. This personal identification device includes an illuminating unit 1 for irradiating light to the face of a person to be imaged, a camera 2 for imaging a face centered on the eye of the person to be imaged, and the illuminating unit 1 and the camera 2 are connected. The control unit 3, the memory 4 and the eye part extraction unit 5 connected to the control unit 3, the density extraction unit 6 connected to the eye part extraction unit 5, and the density extraction unit 6 connected to the density extraction unit 6. A determination unit 7 and a density reference value memory 8 connected to the determination unit 7. The output side of the memory 4 is connected to a collating unit 9, and the control unit 3 is further connected to a registration database 10. The illumination unit 1 operates under the control of the control unit 3 and emits near-infrared light. The camera 2 outputs an eye image (data) including eyes of the face by the control unit 3
Output to The control unit 3 stores the eye image in the memory 4 and activates the eye part extracting unit 5.
【0014】ところで、人の眼は、図2に示すように、
瞳孔20、虹彩21及び強膜22(いわゆる白目)を有
している。上記眼部位抽出部5は、メモリ4から眼画像
を取り込み、眼画像の濃度変化を検出して瞳孔領域20
A、虹彩領域21A及び強膜領域22A(図2参照)の
輪郭を設定し、これにより各部の領域を抽出する。濃度
抽出部6は、瞳孔領域20A、虹彩領域21A及び強膜
領域22Aのそれぞれの領域濃度を抽出する。By the way, the human eye, as shown in FIG.
It has a pupil 20, an iris 21, and a sclera 22 (so-called white eye). The eye part extracting unit 5 fetches an eye image from the memory 4, detects a density change of the eye image, and
A, outlines of the iris region 21A and the sclera region 22A (see FIG. 2) are set, and the region of each part is extracted. The density extraction unit 6 extracts each of the pupil region 20A, the iris region 21A, and the scleral region 22A.
【0015】濃度基準値メモリ8には、各領域毎に人の
眼の濃度上限を示す基準値L1と濃度下限を示す基準値
L2とが格納されている(図3参照)。即ち、義眼は、
通常、シリコンから作成され、近赤外光を照射すると、
特有の赤外反射率及び吸収率を有するため、眼画像上に
おいて瞳孔領域、虹彩領域及び強膜領域の濃度が人の眼
とは相違し、一方、写真に写された眼や印刷物上の眼
は、近赤外光を照射すると、写真等の媒体やインク等に
よって反射率が異なるため、眼画像上において瞳孔領
域、虹彩領域及び強膜領域の濃度が人の眼とは同様に相
違している。The density reference value memory 8 stores a reference value L1 indicating the density upper limit of the human eye and a reference value L2 indicating the density lower limit for each region (see FIG. 3). That is, the artificial eye
It is usually made from silicon and when irradiated with near-infrared light,
Due to its unique infrared reflectance and absorptivity, the pupil region, iris region and scleral region have different densities from the human eye on the eye image, while the eyes on a photograph or the eyes on printed matter When irradiating near-infrared light, the reflectance of the pupil region, the iris region, and the scleral region on the eye image differs similarly from that of the human eye because the reflectance differs depending on the medium such as a photograph or the ink or the like. I have.
【0016】本具体例では、多数の義眼及び写真や印刷
物上の眼(偽造した眼)と複数の人の眼から眼画像を取
得し、それぞれの領域毎の濃度範囲を求め、偽造した各
眼と人の眼のそれぞれのしきい値を設定し、これらのし
きい値を上記した人の眼の濃度基準値L1及び濃度基準
値L2としている。判定部7は濃度抽出部6で抽出した
各領域の濃度値と上記濃度基準値L1及び濃度基準値L
2とを比較し、眼画像上の眼が偽造した眼であるか否か
を判定する。登録データベース10には、本人の虹彩デ
ータが登録されている。照合部9は、撮像された眼画像
から虹彩データを抽出し、登録データベース10から制
御部3を介して取り込んだ登録虹彩データと照合し、本
人か否かを判定する。In this example, eye images are obtained from a large number of artificial eyes, eyes on photographs or printed matter (forged eyes) and eyes of a plurality of persons, and a density range for each area is obtained. And threshold values of the human eye are set, and these threshold values are set as the above-described density reference values L1 and L2 of the human eye. The determination unit 7 determines the density value of each area extracted by the density extraction unit 6 and the density reference values L1 and L.
2 to determine whether the eye on the eye image is a fake eye. The iris data of the person is registered in the registration database 10. The collation unit 9 extracts iris data from the captured eye image, collates the iris data with the registered iris data acquired from the registration database 10 via the control unit 3, and determines whether or not the user is the principal.
【0017】次に、本発明の個人識別装置の動作を説明
する。義眼を装着し、若しくは写真等を持つ被撮像者に
対し、照明手段1が光を照射すると、カメラ2が眼を含
む顔の一部を撮像し、眼画像を出力する。制御部3はこ
の眼画像をメモリ4に格納し、眼部位抽出部5を作動さ
せる。眼部位抽出部5は瞳孔領域20A、虹彩領域21
A、強膜領域22Aを抽出するので、濃度抽出部6がこ
れら各領域の濃度を抽出する。Next, the operation of the personal identification device of the present invention will be described. When the illuminating means 1 irradiates a subject with a prosthetic eye or a photograph or the like with light, the camera 2 images a part of the face including the eyes and outputs an eye image. The control unit 3 stores the eye image in the memory 4 and activates the eye part extracting unit 5. The eye part extraction unit 5 includes a pupil region 20A, an iris region 21
A, since the scleral region 22A is extracted, the concentration extracting unit 6 extracts the concentration of each of these regions.
【0018】判定部7は各領域毎の濃度値と、濃度基準
値メモリ8から取り込んだ各領域対応の濃度基準値L1
及び濃度基準値L2とを比較する。各領域毎の濃度値
は、義眼又は写真等の眼であることから、基準値L1よ
り大きく若しくは基準値L2より小さくなる。従って、
判定部7は偽造の眼と判定し、その旨を制御部3に通知
する。制御部3は、この通知を受けると、データ登録時
には登録データベース10への登録処理を停止し、照合
部9の照合時には照合結果をキャンセルし若しくは照合
動作を開始させず、図示しない警報部等に本人になりす
ましている第三者である旨を通知する。The determination unit 7 determines a density value for each area and a density reference value L1 corresponding to each area fetched from the density reference value memory 8.
And the density reference value L2. The density value for each region is larger than the reference value L1 or smaller than the reference value L2 because the density value is an eye such as an artificial eye or a photograph. Therefore,
The determination unit 7 determines that the eye is a counterfeit eye, and notifies the control unit 3 of the determination. Upon receiving this notification, the control unit 3 stops the registration process in the registration database 10 at the time of data registration, cancels the collation result or does not start the collation operation at the time of collation by the collation unit 9, Notify that you are a third party impersonating you.
【0019】本具体例では、3つの領域の全てが基準値
L1より大きく若しくは基準値L2より小さい場合に偽
造した眼と判定しているが、いずれか一つの領域が基準
値より大きく若しくは小さい場合でも偽造した眼と判定
してもよい。また、虹彩領域のみを判定対象としてもよ
い。In this specific example, when all three regions are larger than the reference value L1 or smaller than the reference value L2, it is determined that the eye is forged. However, when any one region is larger or smaller than the reference value. However, it may be determined that the eye is forged. Alternatively, only the iris region may be determined.
【0020】〈具体例2〉図4は本具体例2の個人識別
装置のブロック図である。この個人識別装置は、眼周辺
部位抽出部11を更に備えている。ところで、人の眼
は、図5に示すように、瞳孔20、虹彩21及び強膜2
2を有しているが、その周辺には、まゆげ23、上まぶ
た24、まつげ25及び下まぶた26が存在している。
上記眼周辺部位抽出部11は、メモリ4から眼画像を取
り込み、眼画像の濃度変化を検出してまゆげ領域23
A、上まぶた領域24A、まつげ領域25A及び下まぶ
た領域26Aの輪郭を設定し、これにより周辺部の各領
域を抽出する。<Embodiment 2> FIG. 4 is a block diagram of a personal identification device according to Embodiment 2 of the present invention. This personal identification device further includes an eye periphery part extraction unit 11. By the way, as shown in FIG. 5, the human eye has a pupil 20, an iris 21, and a sclera 2.
2, the eyelashes 23, the upper eyelids 24, the eyelashes 25, and the lower eyelids 26 are present in the vicinity thereof.
The eye periphery part extracting unit 11 fetches an eye image from the memory 4, detects a change in the density of the eye image, and detects
A, the outlines of the upper eyelid region 24A, the eyelash region 25A, and the lower eyelid region 26A are set, thereby extracting each peripheral region.
【0021】また、眼部位抽出部5Aは、具体例1と同
様に、瞳孔領域20A、虹彩領域21A及び強膜領域2
2Aを抽出するが、更に瞳孔20の中心部27に対応す
る中心領域27Aを抽出する。人の眼において、この中
心部27では照射光が眼球表面の角膜でそのまま反射さ
れるため明るく、従って、眼画像において中心部27に
対応して得られる中心領域27Aの濃度が最も大きくな
る(明るくなる)。Further, similarly to the first embodiment, the eye part extracting section 5A includes a pupil region 20A, an iris region 21A, and a scleral region 2A.
2A is extracted, and a central region 27A corresponding to the central portion 27 of the pupil 20 is further extracted. In the human eye, the central portion 27 is bright because the irradiation light is directly reflected by the cornea on the surface of the eyeball, so that the density of the central region 27A obtained corresponding to the central portion 27 in the eye image is the highest (brightest). Become).
【0022】濃度基準値メモリ8Aには、上記濃度基準
値L1及び濃度基準値L2以外に、上記まゆげ23等の
各周辺部及び中心部27の濃度基準値が格納されてい
る。即ち、人のまゆげ23等の各周辺部は、生体の組織
細胞に特有の濃度値を有しており、これに対し写真や印
刷物上の眼の周辺部は、通常、媒体やインク等によって
反射率が異なるため、濃度値が相違している。そこで、
本具体例では、多数の人及び写真から眼画像を取得し、
周辺領域毎の濃度値範囲を求め、各周辺領域毎のしきい
値から成る基準値を設定している。また、写真や印刷物
上の眼では中心部27からの反射が人の眼のそれよりも
大幅に少ないため濃度値が小さくなる。従って、同様に
中心領域の基準値を設定している。尚、図4において具
体例1と同一部分には同一符号を付し、その説明を省略
する。In the density reference value memory 8A, in addition to the density reference value L1 and the density reference value L2, density reference values of the peripheral portion such as the eyebrows 23 and the central portion 27 are stored. That is, each peripheral part such as the eyebrows 23 of a person has a density value peculiar to a tissue cell of a living body, while the peripheral part of the eye on a photograph or printed matter is usually reflected by a medium, ink, or the like. Since the ratios are different, the density values are different. Therefore,
In this specific example, eye images are obtained from many people and photographs,
A density value range for each peripheral area is obtained, and a reference value including a threshold value for each peripheral area is set. Further, since the reflection from the central part 27 is much smaller than that of the human eye, the density value is small for eyes on photographs and printed matter. Therefore, the reference value of the central region is set similarly. In FIG. 4, the same parts as those in the first embodiment are denoted by the same reference numerals, and the description thereof will be omitted.
【0023】次に、具体例2の個人識別装置の動作を説
明する。偽造された眼及びその周辺をカメラ2にて撮像
して得た眼画像がメモリ4に格納されると、制御部3は
眼部位抽出部5A及び眼周辺部位抽出部11を作動させ
る。眼部位抽出部5Aは、瞳孔領域20A、虹彩領域2
1A、強膜領域22A及び中心領域27Aを抽出するの
で、濃度抽出部6がこれら各領域の濃度を抽出する。一
方、眼周辺部位抽出部11は、まゆげ領域23A、上ま
ぶた領域24A、まつげ領域25A及び下まぶた領域2
6Aを抽出するので、濃度抽出部6が同様に各周辺領域
の濃度を抽出する。Next, the operation of the personal identification device of the embodiment 2 will be described. When an eye image obtained by imaging the forged eye and its surroundings with the camera 2 is stored in the memory 4, the control unit 3 operates the eye part extracting unit 5A and the eye peripheral part extracting unit 11. The eye part extraction unit 5A includes a pupil region 20A, an iris region 2
Since 1A, the scleral region 22A, and the central region 27A are extracted, the concentration extracting unit 6 extracts the concentration of each of these regions. On the other hand, the eye-periphery-part extracting unit 11 performs the eyelash region 23A, the upper eyelid region 24A, the eyelash region 25A, and the lower eyelid region 2
Since 6A is extracted, the density extracting unit 6 similarly extracts the density of each peripheral region.
【0024】判定部7Aは各領域20A等の濃度値と濃
度基準値L1及び濃度基準値L2とを比較し、これによ
り偽造した眼と判定することになる。また、判定部7A
は、中心領域27A及び各周辺領域と設定した各基準値
とを比較し、同様に偽造した眼と判定することになる。
従って、本具体例2によれば、眼以外の周辺部も含めて
眼が偽造されているか否かを判定するので、判定精度が
向上する。The determination unit 7A compares the density value of each area 20A with the density reference value L1 and the density reference value L2, and thereby determines that the eye is forged. The determination unit 7A
Compares the central region 27A and each peripheral region with each set reference value, and similarly determines that the eye is forged.
Therefore, according to the present specific example 2, since it is determined whether or not the eye is forged including the peripheral part other than the eye, the determination accuracy is improved.
【0025】〈具体例3〉図6は本具体例3の個人識別
装置のブロック図である。この個人識別装置は、具体例
1の構成に濃度差抽出部12を更に備える。ところで、
カメラ2による撮像時の明るさは、周囲環境や照明手段
1の照射光の強度及び変化による影響を受ける。また、
カメラ2に対する被撮像者の撮像距離によって眼及びそ
の周辺の明るさが相違する。このため、カメラ2にて取
得した眼画像全体の濃度が周囲環境等の影響を受け、撮
像毎に変化する虞れがある。<Embodiment 3> FIG. 6 is a block diagram of a personal identification device according to Embodiment 3 of the present invention. This personal identification device further includes a density difference extracting unit 12 in the configuration of the specific example 1. by the way,
The brightness at the time of imaging by the camera 2 is affected by the surrounding environment and the intensity and change of the irradiation light of the illumination unit 1. Also,
The brightness of the eye and its surroundings differs depending on the imaging distance of the subject to the camera 2. For this reason, the density of the entire eye image acquired by the camera 2 may be affected by the surrounding environment or the like, and may change every imaging.
【0026】そこで、上記濃度差抽出部12は、濃度抽
出部6より瞳孔領域20A、虹彩領域21A及び強膜領
域22A(図2参照)の各濃度値が送られてくると、領
域間の濃度値の差を演算して各濃度差を抽出する。一
方、濃度差基準値メモリ8Bには、各濃度差基準値が格
納されている。即ち、多数の偽造した眼と人の眼から眼
画像を取得し、それぞれの領域毎の平均的濃度値を求め
ると共に、各領域間の濃度の差を求め、偽造した眼と人
の眼の領域間の濃度差に基づいてこれらのしきい値を設
定し、これらのしきい値を上記各濃度差基準値としてい
る。尚、図6において具体例1と同一部分には同一符号
を付し、その説明を省略する。The density difference extracting unit 12 receives the density values of the pupil region 20A, the iris region 21A and the scleral region 22A (see FIG. 2) from the density extracting unit 6, and outputs the density between the regions. The difference between the values is calculated to extract each density difference. On the other hand, each density difference reference value is stored in the density difference reference value memory 8B. That is, eye images are obtained from a large number of forged eyes and human eyes, an average density value is obtained for each area, and a density difference between each area is obtained. These threshold values are set on the basis of the density difference between them, and these threshold values are used as the respective density difference reference values. In FIG. 6, the same portions as those in the first embodiment are denoted by the same reference numerals, and description thereof will be omitted.
【0027】次に、具体例3の個人識別装置の動作を説
明する。偽造された眼及びその周辺をカメラ2にて撮像
して得た眼画像がメモリ4に格納されて眼の各部が抽出
されると、制御部3の制御で濃度抽出部が瞳孔領域20
A、虹彩領域21A及び強膜領域22A(図2参照)の
各濃度値を抽出する。次に、濃度差抽出部12は、これ
ら領域20A,21A,22A間の濃度差を演算して抽
出する。判定部7Bは、得られた各濃度差を濃度差基準
値メモリ8Bの各濃度差基準値と比較し、これにより偽
造した眼と判定することになる。Next, the operation of the personal identification device of the third embodiment will be described. When an eye image obtained by imaging the forged eye and its surroundings by the camera 2 is stored in the memory 4 and each part of the eye is extracted, the density extraction unit is controlled by the control unit 3 to control the pupil region 20.
A, density values of the iris region 21A and the scleral region 22A (see FIG. 2) are extracted. Next, the density difference extracting unit 12 calculates and extracts the density difference between these areas 20A, 21A, 22A. The determination unit 7B compares the obtained respective density differences with the respective density difference reference values in the density difference reference value memory 8B, thereby determining that the eye is a forged eye.
【0028】このように、各領域の濃度差を判定基準に
すると、撮像時の周囲環境等の影響で得られた眼画像の
濃度にばら付きが生じても正確に偽造された眼か否かを
判定することができる。本具体例3の発明は、上記具体
例1の発明及び具体例2の発明と組み合わせてもよく、
これにより高精度の判定が可能となる。As described above, when the density difference of each area is used as a criterion, even if the density of the eye image obtained due to the influence of the surrounding environment at the time of imaging varies, whether or not the eye is accurately forged is determined. Can be determined. The invention of Embodiment 3 may be combined with the invention of Embodiment 1 and the invention of Embodiment 2.
This enables highly accurate determination.
【0029】〈具体例4〉図7は本具体例4の個人識別
装置のブロック図である。この個人識別装置は、具体例
3の濃度差抽出部12に代えて濃度比抽出部13を更に
備える。この濃度比抽出部13は、濃度抽出部6より瞳
孔領域20A、虹彩領域21A及び強膜領域22A(図
2参照)の各濃度値が送られてくると、領域間の濃度の
比を演算して各濃度比を抽出する。<Embodiment 4> FIG. 7 is a block diagram of a personal identification apparatus according to Embodiment 4 of the present invention. This personal identification device further includes a density ratio extracting unit 13 instead of the density difference extracting unit 12 of the third embodiment. When each density value of the pupil region 20A, the iris region 21A and the sclera region 22A (see FIG. 2) is sent from the density extraction unit 6, the density ratio extraction unit 13 calculates the density ratio between the regions. To extract each concentration ratio.
【0030】濃度比基準値メモリ8Cには、具体例3と
同様に偽造した眼と人の眼の領域間の濃度比に基づいて
設定したしきい値、即ち、各濃度比基準値が格納されて
いる。本具体例においても各領域の濃度比を判定基準と
するので、撮像時の周囲環境等の影響で得られた眼画像
の濃度にばら付きが生じても正確に偽造された眼か否か
を判定することができる。In the density ratio reference value memory 8C, threshold values set based on the density ratio between the area of the forged eye and the human eye, that is, each density ratio reference value, as in the third embodiment, are stored. ing. Also in this specific example, since the density ratio of each area is used as a criterion, even if the density of the eye image obtained due to the influence of the surrounding environment at the time of imaging varies, whether or not the eye is accurately forged is determined. Can be determined.
【0031】ところで、例えば、瞳孔領域20Aと強膜
領域22Aとの間の濃度差は、非常に大きいため実質的
に強膜領域22Aの濃度によって決まるため、具体例3
の発明では、偽造した眼と人の眼との領域間濃度差が近
い値になる虞れがあり、このため濃度差基準値の設定が
困難となることもある。これに対し本具体例4の発明で
は、例えば濃度の大きい瞳孔領域20Aの濃度値を分母
とし、かつ強膜領域22Aの濃度を分子とする濃度比を
利用するので、偽造した眼と人の眼の濃度の相違を濃度
比基準値として明確に表すことができる。本具体例4の
発明は、上記具体例1の発明、具体例2の発明及び具体
例3の発明と組み合わせてもよく、これにより高精度の
判定が可能となる。By the way, for example, the density difference between the pupil region 20A and the sclera region 22A is very large and is substantially determined by the density of the sclera region 22A.
According to the invention, the density difference between the areas of the forged eye and the human eye may be close to each other, which may make it difficult to set the density difference reference value. On the other hand, in the invention of the fourth embodiment, for example, the density ratio of the pupil region 20A having a high density is used as the denominator and the density of the sclera region 22A is used as the numerator. Can be clearly expressed as a concentration ratio reference value. The invention of the embodiment 4 may be combined with the invention of the embodiment 1, the invention of the embodiment 2 and the invention of the embodiment 3, thereby enabling highly accurate determination.
【0032】〈具体例5〉図8は、本具体例5の個人識
別装置のブロック図である。この個人識別装置は、具体
例1の濃度抽出部6に代えて濃度微分抽出部14を備え
る。ところで、図2に示す虹彩21には、その内部に筋
肉のヒダから成る凹凸模様(虹彩紋理)が存在してい
る。一方、瞳孔20には物理的な凹凸が存在していな
い。従って、虹彩21は濃度が変化しているので、眼画
像上において虹彩領域21Aの濃度(凹凸)を微分する
と大きな微分値が得られる。そこで、上記濃度微分抽出
部14は、眼部位抽出部5より虹彩領域21Aが送られ
てくると、該領域21Aの濃度変化を微分して濃度微分
値を抽出する。<Embodiment 5> FIG. 8 is a block diagram of a personal identification device according to Embodiment 5 of the present invention. This personal identification device includes a density differential extraction unit 14 instead of the density extraction unit 6 of the first embodiment. By the way, the iris 21 shown in FIG. 2 has a concavo-convex pattern (iris pattern) composed of muscle folds inside. On the other hand, the pupil 20 has no physical unevenness. Therefore, since the density of the iris 21 changes, a large differential value is obtained by differentiating the density (irregularity) of the iris area 21A on the eye image. Therefore, when the iris area 21A is sent from the eye part extracting section 5, the density differential extraction section 14 differentiates the density change of the area 21A to extract a density differential value.
【0033】一方、濃度微分基準値メモリ8Dには、濃
度微分基準値が格納されている。即ち、義眼の虹彩には
人の眼と同様に虹彩紋理を設けることは困難であり、又
写真や印刷物上では眼の虹彩が鮮明に現れることはな
い。そこで本具体例では、多数の偽造された眼の眼画像
から虹彩領域の濃度微分範囲を求めると共に、多数の人
の眼の眼画像から虹彩領域の濃度微分範囲を求め、偽造
した眼と人の眼のしきい値を設定し、これを濃度微分基
準値としている。尚、図8において、図1と同一部分に
は同一符号を付してその説明を省略する。On the other hand, the density differential reference value memory 8D stores a density differential reference value. That is, it is difficult to provide an iris pattern on the iris of the artificial eye as in the case of the human eye, and the iris of the eye does not appear clearly on photographs or printed matter. Therefore, in this specific example, the density differential range of the iris region is obtained from a large number of forged eye images, and the density differential range of the iris region is obtained from a large number of human eye images. An eye threshold is set, and this is used as a density differential reference value. In FIG. 8, the same parts as those in FIG. 1 are denoted by the same reference numerals, and description thereof will be omitted.
【0034】次に、具体例5の個人識別装置の動作を説
明する。偽造された眼及びその周辺をカメラ2にて撮像
して得た眼画像がメモリ4に格納され、眼部位抽出部5
が虹彩領域21Aを抽出すると、制御部3の制御で濃度
微分抽出部14は、虹彩領域21Aの濃度変化を微分し
て濃度微分値を抽出する。Next, the operation of the personal identification device of the embodiment 5 will be described. An eye image obtained by imaging the forged eye and its surroundings with the camera 2 is stored in the memory 4, and an eye part extracting unit 5
Extracts the iris area 21A, under the control of the control unit 3, the density differential extraction unit 14 differentiates the density change of the iris area 21A to extract a density differential value.
【0035】次に、判定部7Dは、得られた濃度微分値
を、濃度微分基準値メモリ8Dの濃度微分基準値と比較
し、これにより偽造した眼と判定することになる。とこ
ろで、人の眼の虹彩21は、濃度が変化するだけでなく
複雑な濃度変化を示す。従って、上記具体例5におい
て、虹彩領域21Aの濃度変化を高次微分して得た高次
微分値を濃度微分値として抽出してもよい。即ち、これ
により、虹彩の複雑な濃度変化を示す濃度微分値が得ら
れるので、更に高精度の判定が可能である。本具体例5
の発明は、上記具体例1の発明、具体例2の発明、具体
例3の発明及び具体例4の発明と組み合わせてもよく、
これにより高精度の判定が可能となる。Next, the determination unit 7D compares the obtained density differential value with the density differential reference value in the density differential reference value memory 8D, and thereby determines that the eye is forged. By the way, the iris 21 of the human eye shows not only a change in density but also a complicated change in density. Therefore, in the specific example 5, a higher-order differential value obtained by performing higher-order differentiation on the density change of the iris region 21A may be extracted as a density differential value. That is, a density differential value indicating a complicated density change of the iris is obtained, so that a more accurate determination can be made. Specific Example 5
May be combined with the above-described invention of the first embodiment, the invention of the second embodiment, the invention of the third embodiment, and the invention of the fourth embodiment,
This enables highly accurate determination.
【0036】〈具体例6〉図9は本具体例6の個人識別
装置のブロック図である。この個人識別装置は、具体例
5の構成に濃度微分差抽出部15を更に備える。この濃
度微分差抽出部15は、濃度微分抽出部14Aより瞳孔
領域20A、虹彩領域21A及び強膜領域22A(図2
参照)の各濃度微分値が送られてくると、領域間の濃度
微分値の差を演算して各濃度微分値差を抽出する。<Embodiment 6> FIG. 9 is a block diagram of a personal identification device according to Embodiment 6 of the present invention. This personal identification device further includes a density differential difference extraction unit 15 in the configuration of the specific example 5. The density differential difference extracting unit 15 receives the pupil region 20A, iris region 21A, and scleral region 22A from the density differential extracting unit 14A (FIG. 2).
When each density differential value is sent, the difference between the density differential values between the regions is calculated to extract each density differential value difference.
【0037】一方、濃度微分差基準値メモリ8Eには、
各濃度微分差基準値が格納されている。これらの濃度微
分差基準値は、多数の偽造された眼及び多数の人の眼か
ら得た眼画像に基づいて上記した具体例3と同様にしき
い値として設定される。この個人識別装置において、偽
造された眼及びその周辺をカメラ2にて撮像して得た眼
画像がメモリ4に格納されると、眼部位抽出部5は眼画
像から瞳孔領域20A、虹彩領域21A及び強膜領域2
2Aを抽出する。On the other hand, the density differential difference reference value memory 8E stores
Each density differential difference reference value is stored. These density differential difference reference values are set as threshold values in the same manner as in the specific example 3 described above based on eye images obtained from a large number of forged eyes and a large number of human eyes. In this personal identification device, when an eye image obtained by imaging the forged eye and its surroundings with the camera 2 is stored in the memory 4, the eye part extraction unit 5 extracts the pupil region 20A and the iris region from the eye image. 21A and scleral region 2
Extract 2A.
【0038】次に、濃度微分抽出部14Aは、これら領
域20A,21A,22Aの濃度微分値を演算して抽出
する。次に、濃度微分差抽出部15は、得られた領域間
の濃度微分値の差を演算して抽出する。判定部7Eは、
得られた各濃度微分差を、濃度微分差基準値メモリ8E
の各濃度微分差基準値と比較し、これにより偽造した眼
と判定することになる。この具体例6では各領域の濃度
微分差を判定基準にするので、上記したように撮像時の
周囲環境等の影響で得られた眼画像の濃度にばら付きが
生じても正確に偽造された眼か否かを判定することがで
きる。Next, the density differential extraction section 14A calculates and extracts the density differential values of these areas 20A, 21A, 22A. Next, the density differential difference extraction unit 15 calculates and extracts the difference in density differential value between the obtained regions. The determination unit 7E
The obtained density differential differences are stored in a density differential difference reference value memory 8E.
Is compared with each reference value of the density differential difference, thereby determining that the eye is forged. In this specific example 6, since the density differential difference of each area is used as a criterion, even if the density of the eye image obtained due to the influence of the surrounding environment at the time of imaging fluctuates, forgery is accurately performed. It can be determined whether or not the eye is involved.
【0039】本具体例6の発明は、上記具体例1の発
明、具体例2の発明、具体例3の発明、具体例4の発
明、具体例5の発明と組み合わせてもよく、これにより
高精度の判定が可能となる。本具体例6を示す図9にお
いて、濃度微分差抽出部15に代えて濃度微分比抽出部
を設けてもよい。即ち、各領域20A,21A,22A
の濃度微分値の比を求め、判定部にて判定するようにし
てもよい。これによって、上記具体例4における作用、
効果が得られる。尚、各領域の濃度を高次微分して得た
高次微分値を濃度微分値としてもよいのは勿論である。The invention of the embodiment 6 may be combined with the invention of the embodiment 1, the invention of the embodiment 2, the invention of the embodiment 3, and the invention of the embodiment 5. The accuracy can be determined. In FIG. 9 showing this specific example 6, a density differential ratio extracting unit may be provided instead of the density differential difference extracting unit 15. That is, each area 20A, 21A, 22A
May be determined by the determination unit. Thereby, the operation in the above specific example 4,
The effect is obtained. It is needless to say that a higher-order differential value obtained by higher-order differentiation of the density of each region may be used as a density differential value.
【0040】〈具体例7〉図10は、本具体例7の個人
識別装置のブロック図である。この個人識別装置は、具
体例5を示す図8の濃度微分抽出部14に代えて空間周
波数抽出部16を備える。ところで、上記したように、
虹彩21には、その内部に筋肉のヒダから成る凹凸模様
を有している。本具体例では、眼画像上における虹彩領
域21Aの濃度(凹凸)変化を平面的な疎密のピッチと
して現すことに着目している。即ち、空間周波数抽出部
16は、虹彩領域21Aの濃度変化を空間周波数に変換
してその周波数値を抽出する。<Embodiment 7> FIG. 10 is a block diagram of a personal identification device of Embodiment 7 of the present invention. This personal identification device includes a spatial frequency extracting unit 16 instead of the density differential extracting unit 14 of FIG. By the way, as mentioned above,
The iris 21 has an uneven pattern formed of muscle folds inside. In this specific example, attention is paid to expressing a change in density (irregularity) of the iris region 21A on the eye image as a planar sparse and dense pitch. That is, the spatial frequency extracting unit 16 converts the density change of the iris area 21A into a spatial frequency and extracts the frequency value.
【0041】一方、空間周波数基準値メモリ8Fには、
空間周波数基準値が格納されている。この空間周波数基
準値は、上記した具体例5と同様に偽造された眼の画像
から得た虹彩領域の空間周波数値と、人の眼画像から得
た虹彩領域の空間周波数値とに基づいてしきい値として
設定されている。尚、図10において、図8と同一部分
には同一符号を付してその説明を省略する。On the other hand, the spatial frequency reference value memory 8F stores
A spatial frequency reference value is stored. This spatial frequency reference value is based on the spatial frequency value of the iris region obtained from the forged eye image and the spatial frequency value of the iris region obtained from the human eye image, as in the specific example 5 described above. It is set as a threshold. In FIG. 10, the same parts as those in FIG. 8 are denoted by the same reference numerals, and the description thereof will be omitted.
【0042】この個人識別装置において、偽造された眼
及びその周辺をカメラ2にて撮像して得た眼画像がメモ
リ4に格納され、眼部位抽出部5が虹彩領域21Aを抽
出すると、制御部3の制御で空間周波数抽出部16は、
虹彩領域21Aの濃度変化を空間周波数に変換し、その
周波数値を抽出する。判定部7Fは、得られた空間周波
数値を、メモリ8Fの空間周波数値と比較し、これによ
り偽造した眼と判定することになる。In this personal identification device, an eye image obtained by imaging the forged eye and its surroundings with the camera 2 is stored in the memory 4, and when the eye part extracting unit 5 extracts the iris area 21A, Under the control of the unit 3, the spatial frequency extracting unit 16
The density change of the iris area 21A is converted into a spatial frequency, and the frequency value is extracted. The determination unit 7F compares the obtained spatial frequency value with the spatial frequency value of the memory 8F, and thereby determines that the eye is forged.
【0043】この具体例7によれば、虹彩領域21Aが
眼画像上において不鮮明であっても凹凸紋様を正確に空
間周波数として現すことができ、従って、より正確に撮
像された眼の真偽を判定することが可能になる。本具体
例7の発明は、上記した全ての具体例の発明と組み合わ
せてもよい。According to this specific example 7, even if the iris area 21A is unclear on the eye image, the irregular pattern can be accurately represented as a spatial frequency. It becomes possible to determine. The invention of the embodiment 7 may be combined with the inventions of all the above-mentioned embodiments.
【0044】〈具体例8〉図11は本具体例8の個人識
別装置のブロック図である。この個人識別装置は、具体
例7の構成に空間周波数差抽出部17を更に備える。こ
の個人識別装置において、偽造された眼及びその周辺を
カメラにて撮像して得た眼画像がメモリ4に格納される
と、眼部位抽出部5は、眼画像から瞳孔領域20A、虹
彩領域21A及び強膜領域22Aを抽出する。<Embodiment 8> FIG. 11 is a block diagram of a personal identification device of Embodiment 8 of the present invention. This personal identification device further includes a spatial frequency difference extracting unit 17 in the configuration of the specific example 7. In this personal identification device, when an eye image obtained by imaging the forged eye and its surroundings with a camera is stored in the memory 4, the eye part extracting unit 5 extracts the pupil region 20A and the iris region from the eye image. 21A and the scleral region 22A are extracted.
【0045】空間周波数抽出部16Aは、これら領域2
0A,21A,22Aの濃度変化を空間周波数に変換し
て抽出する。空間周波数差抽出部17は、得られた領域
間の空間周波数値の差を演算して抽出する。判定部7G
は、得られた各空間周波数値差を、空間周波数差基準値
メモリ8Gの各空間周波数差基準値と比較し、これによ
り偽造した眼と判定することになる。尚、空間周波数差
基準値は、上記したと同様に平均的な領域毎の空間周波
数の差に基づいてしきい値として設定される。The spatial frequency extracting unit 16A calculates these regions 2
The density changes of 0A, 21A and 22A are converted into spatial frequencies and extracted. The spatial frequency difference extracting unit 17 calculates and extracts a difference between spatial frequency values between the obtained regions. Judgment unit 7G
Compares each obtained spatial frequency value difference with each spatial frequency difference reference value in the spatial frequency difference reference value memory 8G, thereby determining that the eye is a forged eye. Note that the spatial frequency difference reference value is set as a threshold value based on the average spatial frequency difference for each region, as described above.
【0046】本具体例8によれば、眼画像が周囲環境等
の影響で濃度にばら付きが生じても眼の真偽を正確に判
定することが可能である。本具体例8の発明は、上記し
た全ての具体例の発明と組み合わせて用いることができ
る。本具体例8で示す図11において、空間周波数差抽
出部17に代えて空間周波数比抽出部を設けてもよい。
即ち、各領域20A,21A,22Aの空間周波数の比
を求め、判定部にて判定するようにしてもよい。これに
よって、上記具体例4における作用、効果が得られる。According to the eighth embodiment, even if the density of the eye image varies due to the influence of the surrounding environment or the like, the authenticity of the eye can be accurately determined. The invention of this specific example 8 can be used in combination with the inventions of all the specific examples described above. 11, a spatial frequency ratio extracting unit may be provided instead of the spatial frequency difference extracting unit 17 in FIG.
That is, the ratio of the spatial frequency of each of the regions 20A, 21A, and 22A may be obtained, and the determination unit may make the determination. Thereby, the operation and effect of the fourth embodiment can be obtained.
【0047】〈具体例9〉図12は本具体例9の個人識
別装置のブロック図である。この個人識別装置は、複数
の照明手段1A,1B,1Cと、照明切替部18を備
え、その他の構成は図1の具体例1と同一である。これ
ら照明手段1A,1B,1Cは、それぞれ異なる波長の
光を照射し、例えば、照明手段1Aは可視光を照射し、
照明手段1Bは近赤外光を照射し、照明手段1Cは波長
の相違する近赤外光を照射する。<Embodiment 9> FIG. 12 is a block diagram of a personal identification device according to Embodiment 9 of the present invention. This personal identification device includes a plurality of lighting units 1A, 1B, 1C and a lighting switching unit 18, and the other configuration is the same as that of the first embodiment in FIG. These illuminating means 1A, 1B, 1C irradiate light of different wavelengths, for example, illuminating means 1A irradiates visible light,
The illumination unit 1B emits near-infrared light, and the illumination unit 1C emits near-infrared light having different wavelengths.
【0048】ところで、義眼の虹彩と人のそれとは、可
視光を照射されると、得られる虹彩領域の濃度にそれほ
ど差がない。一方、近赤外光を照射されると、波長毎に
特有の明るさになってそれぞれ特有の小さい濃度とな
る。制御部3は、照明切替部18を切替制御し、照明手
段1A,1B,1Cをこの順で作動させると共に、カメ
ラ2に光を照射させる毎に被撮像者の眼を撮像させる。By the way, when the iris of the artificial eye and that of the human are irradiated with visible light, there is not much difference in the density of the obtained iris region. On the other hand, when irradiated with near-infrared light, the brightness becomes unique for each wavelength, and each has a unique small density. The control unit 3 controls the switching of the illumination switching unit 18 to activate the illumination units 1A, 1B, and 1C in this order, and causes the camera 2 to image the eye of the subject every time the camera 2 is irradiated with light.
【0049】濃度基準値メモリ8には、各照明手段の有
する波長毎に濃度基準値L1と濃度基準値L2(図3参
照)が格納されている。判定部7は、各照明手段1A,
1B,1Cに対応する眼画像毎の領域濃度と、メモリ8
の対応する基準値L1,L2とを比較する。従って、本
具体例9によれば、波長毎に相違する複数の眼画像に基
づいて眼の真偽を判定するので、判定精度が大幅に向上
する。尚、本具体例9の発明は、上記した全ての具体例
の発明と組み合わせることができる。The density reference value memory 8 stores a density reference value L1 and a density reference value L2 (see FIG. 3) for each wavelength of each illumination means. The determination unit 7 determines whether each of the lighting units 1A,
Area density for each eye image corresponding to 1B and 1C, and memory 8
Are compared with the corresponding reference values L1 and L2. Therefore, according to the ninth embodiment, since the authenticity of the eye is determined based on a plurality of eye images different for each wavelength, the accuracy of the determination is greatly improved. The invention of the ninth embodiment can be combined with the inventions of all the above-described embodiments.
【0050】〈具体例10〉図13は本具体例10に係
る眼偽造判定方法の説明図である。図において、30は
被撮像者の眼を示している。この眼30を中心としてそ
の両側には照明手段31,32が対称的に配置されてい
る。ところで、人の眼は曲面構造を有している。従っ
て、照明手段31が眼の側面側より光を照射すると、殆
どの照射光Aは眼の曲面によりカメラ33側に反射され
るが、一部の照射光Bは眼の曲面によりカメラ33から
離れる方向へ反射される。このため、眼の略半部側に陰
が生じる。<Embodiment 10> FIG. 13 is an explanatory diagram of an eye forgery determination method according to Embodiment 10. In the figure, reference numeral 30 denotes an eye of a subject. Lighting means 31 and 32 are symmetrically arranged on both sides of the eye 30 as a center. By the way, the human eye has a curved surface structure. Therefore, when the illuminating means 31 emits light from the side of the eye, most of the illuminating light A is reflected toward the camera 33 by the curved surface of the eye, but a part of the illuminating light B is separated from the camera 33 by the curved surface of the eye. Reflected in the direction. For this reason, a shadow is generated in a substantially half part of the eye.
【0051】このような照射状態でカメラ33により眼
30及びその周辺を撮像すると、図14に示すように、
眼画像上においてその略半分の領域34Aが明るく、残
りの略半分の領域34Bが暗くなる。つまり、残りの略
半分の領域34Bの濃度が領域34Aの濃度よりも小さ
くなる。一方、他の照明手段32により光を照射する
と、得られた眼画像上において略半分の領域34Aの濃
度が小さくなり、残りの領域34Bの濃度が大きくな
る。When an image of the eye 30 and its surroundings is taken by the camera 33 in such an irradiation state, as shown in FIG.
On the eye image, a substantially half area 34A is bright, and the remaining half area 34B is dark. That is, the density of the remaining substantially half area 34B is lower than the density of the area 34A. On the other hand, when light is irradiated by the other illumination means 32, the density of the substantially half area 34A on the obtained eye image decreases, and the density of the remaining area 34B increases.
【0052】本発明方法では、照明手段31,32を照
射する毎にカメラ33により眼30及びその周辺を撮像
し、得られた両眼画像の各領域34A,34Bの虹彩領
域等の眼部位領域半部の濃度を比較し、両眼部位領域半
部の濃度が反転していると、被撮像者の眼(若しくは義
眼)と判定する。一方、写真や印刷物上の眼を上記した
ように撮像すると、平面の撮像であることから各眼画像
の半分の領域34A,34Bに濃度差が生じることがな
く、従って、写真上の偽造した眼と判定することができ
る。In the method of the present invention, each time the illumination means 31 and 32 are illuminated, the camera 33 captures an image of the eye 30 and its surroundings, and the obtained binocular image has an eye part such as an iris area of each area 34A and 34B. The densities of the half regions are compared, and if the densities of the both eye region regions are inverted, it is determined that the subject is the eye (or the prosthesis) of the subject. On the other hand, if the eye on a photograph or printed matter is imaged as described above, since the image is a two-dimensional image, there is no difference in density between the half regions 34A and 34B of each eye image. Can be determined.
【0053】図15は、本発明方法を実施するための個
人識別装置のブロック図である。この個人識別装置は、
図1で示す具体例1の構成に、更に照明切替部18及び
陰濃度抽出部19を備えている。照明切替部18は制御
部3の制御で照明手段31,32を切り替えて作動させ
る。カメラ33は各照明手段31,32が作動する毎に
撮像を行い、各眼画像を出力する。FIG. 15 is a block diagram of a personal identification device for implementing the method of the present invention. This personal identification device
The configuration of the specific example 1 shown in FIG. 1 further includes an illumination switching unit 18 and a shade density extraction unit 19. The illumination switching unit 18 switches and activates the illumination units 31 and 32 under the control of the control unit 3. The camera 33 captures an image each time each of the lighting means 31 and 32 operates, and outputs each eye image.
【0054】眼部位抽出部5は各眼画像毎に瞳孔領域2
0A、虹彩領域21A及び強膜領域22Aを抽出する。
濃度抽出部6は、一方の眼画像の各領域20A,21
A,22Aの濃度を抽出する。判定部7Hは、各領域2
0A,21A,22Aと、濃度基準値メモリ8の濃度基
準値L1及び濃度基準値L2と比較し、偽造された眼か
否かを判定する。The eye part extracting section 5 performs the pupil region 2 for each eye image.
0A, the iris region 21A and the scleral region 22A are extracted.
The density extraction unit 6 determines whether each of the regions 20A and 21 of the one eye image
Extract the concentrations of A and 22A. The determination unit 7H determines each area 2
0A, 21A, and 22A are compared with the density reference values L1 and L2 of the density reference value memory 8 to determine whether the eye is a forged eye.
【0055】一方、陰濃度抽出部19は、各眼画像毎に
領域20A,21A,22Aを半分の領域に分割し、分
割領域毎の濃度を抽出する。判定部7Hは、各分割領域
において濃度が反転しているか否かを照合し、反転して
いると被撮像者の眼30又は義眼と判定し、反転してい
ないと写真若しくは印刷物上の眼と判定する。On the other hand, the shade density extracting section 19 divides the areas 20A, 21A and 22A into half areas for each eye image, and extracts the density for each divided area. The determination unit 7H collates whether or not the density is inverted in each divided region, determines that the image is the eye 30 or the artificial eye of the subject if the image is inverted, and matches the eye on the photograph or printed matter if the image is not inverted. judge.
【0056】本発明方法において、一つの眼画像を取得
し、この眼画像の領域34A,34Bの全体的な濃度を
照合して写真により偽造された眼か否かを判定するよう
にしてもよい。本発明方法は、上記した他の上記具体例
の発明と組み合わせることができる。In the method of the present invention, one eye image may be acquired, and the overall densities of the regions 34A and 34B of the eye image may be compared to determine whether the eye is a fake photo. . The method of the present invention can be combined with the above-described other specific examples.
【図1】本発明の具体例1に係る個人識別装置のブロッ
ク図である。FIG. 1 is a block diagram of a personal identification device according to Embodiment 1 of the present invention.
【図2】眼の構造を概念的に示す図である。FIG. 2 is a diagram conceptually showing an eye structure.
【図3】本発明の濃度基準値レベルを示す図である。FIG. 3 is a diagram showing a density reference value level of the present invention.
【図4】具体例2の個人識別装置のブロック図である。FIG. 4 is a block diagram of a personal identification device of a specific example 2.
【図5】眼及びその周辺を概念的に示す図である。FIG. 5 is a diagram conceptually showing an eye and its periphery.
【図6】具体例3の個人識別装置のブロック図である。FIG. 6 is a block diagram of a personal identification device according to a third embodiment.
【図7】具体例4の個人識別装置のブロック図である。FIG. 7 is a block diagram of a personal identification device of a specific example 4.
【図8】具体例5の個人識別装置のブロック図である。FIG. 8 is a block diagram of a personal identification device of a specific example 5.
【図9】具体例6の個人識別装置のブロック図である。FIG. 9 is a block diagram of a personal identification device of a specific example 6.
【図10】具体例7の個人識別装置のブロック図であ
る。FIG. 10 is a block diagram of a personal identification device of a specific example 7.
【図11】具体例8の個人識別装置のブロック図であ
る。FIG. 11 is a block diagram of a personal identification device of a specific example 8;
【図12】具体例9の個人識別装置のブロック図であ
る。FIG. 12 is a block diagram of a personal identification device according to a ninth embodiment.
【図13】本発明の眼偽造判定方法の説明図である。FIG. 13 is an explanatory diagram of the eye forgery determination method of the present invention.
【図14】本発明方法により得た眼画像を示す図であ
る。FIG. 14 is a diagram showing an eye image obtained by the method of the present invention.
【図15】本発明方法を実施するための個人識別装置の
ブロック図である。FIG. 15 is a block diagram of a personal identification device for implementing the method of the present invention.
1,1A,1B,1C 照明手段 2 カメラ 3 制御部 4 メモリ 5,5A 眼部位抽出部 6 濃度抽出部 7,7A〜7H 判定部 8,8A 濃度基準値メモリ 8B 濃度差基準値メモリ 8C 濃度比基準値メモリ 8D 濃度微分基準値メモリ 8E 濃度微分差基準値メモリ 8F 空間周波数基準値メモリ 8G 空間周波数差基準値メモリ 9 照合部 10 登録データベース 11 眼周辺部位抽出部 12 濃度差抽出部 13 濃度比抽出部 14,14A 濃度微分抽出部 15 濃度微分差抽出部 16,16A 空間周波数抽出部 17 空間周波数差抽出部 18 照明切替部 19 陰濃度抽出部 1, 1A, 1B, 1C Illumination means 2 Camera 3 Control unit 4 Memory 5, 5A Eye part extraction unit 6 Density extraction unit 7, 7A to 7H Judgment unit 8, 8A Density reference value memory 8B Density difference reference value memory 8C Density Ratio reference value memory 8D Density derivative reference value memory 8E Density derivative difference reference value memory 8F Spatial frequency reference value memory 8G Spatial frequency difference reference value memory 9 Collation unit 10 Registration database 11 Eye peripheral part extraction unit 12 Density difference extraction unit 13 Concentration ratio Extraction unit 14, 14A Density differential extraction unit 15 Density differential difference extraction unit 16, 16A Spatial frequency extraction unit 17 Spatial frequency difference extraction unit 18 Illumination switching unit 19 Shadow density extraction unit
───────────────────────────────────────────────────── フロントページの続き Fターム(参考) 4C038 VA07 VB04 VC01 VC05 5B047 AA23 AB02 BB06 CB09 DC09 5L096 AA06 BA18 CA02 DA02 EA35 FA39 GA51 JA00 ──────────────────────────────────────────────────続 き Continued on the front page F term (reference) 4C038 VA07 VB04 VC01 VC05 5B047 AA23 AB02 BB06 CB09 DC09 5L096 AA06 BA18 CA02 DA02 EA35 FA39 GA51 JA00
Claims (41)
撮像手段と、 撮像された前記眼画像の少なくとも一以上の特定領域の
濃度を抽出する濃度抽出部と、 偽造した眼及び予め得ていた人の眼の各画像の対応する
前記特定領域の各濃度に基づいて作成された濃度基準値
が格納されている濃度基準値記憶部と、 前記抽出された濃度と前記濃度基準値記憶部の前記濃度
基準値とを比較して偽造された眼か否かを判定する判定
部と、を含むことを特徴とする個人識別装置。An imaging unit configured to capture an eye image of an eye of a person to be imaged; a density extraction unit configured to extract a density of at least one or more specific regions of the captured eye image; A density reference value storage unit that stores a density reference value created based on each density of the specific region corresponding to each obtained human eye image; and the extracted density and the density reference value storage. A determination unit that determines whether the eye is a forged eye by comparing the density reference value of the unit with the density reference value.
び印刷物上の眼のいずれかであることを特徴とする請求
項1記載の個人識別装置。2. The personal identification device according to claim 1, wherein the forged eye is one of a prosthetic eye, an eye on a photograph, and an eye on a printed matter.
部も前記特定領域であることを特徴とする請求項1記載
の個人識別装置。3. The personal identification device according to claim 1, wherein the eye image includes a peripheral portion of the eye, and the peripheral portion is also the specific region.
撮像手段と、 撮像された前記眼画像の複数の特定領域の各濃度を抽出
する濃度抽出部と、 偽造した眼の画像の対応する前記複数の特定領域の濃度
差と予め得ていた人の眼の画像の対応する前記複数の特
定領域の濃度差とに基づいて作成された濃度差基準値が
格納されている濃度差基準値記憶部と、 前記抽出された前記複数の特定領域の濃度の差を抽出す
る濃度差抽出部と、 該抽出された濃度差と前記濃度差基準値記憶部の前記濃
度差基準値とを比較して偽造された眼か否かを判定する
判定部と、を含むことを特徴とする個人識別装置。An imaging unit configured to capture an eye image of an eye of a subject; a density extraction unit configured to extract respective densities of a plurality of specific regions of the captured eye image; A density difference criterion in which a density difference reference value created based on a density difference of the corresponding plurality of specific regions and a density difference of the corresponding plurality of specific regions of the image of the human eye obtained in advance is stored. A value storage unit; a density difference extraction unit that extracts a difference between the extracted densities of the plurality of specific regions; and a comparison between the extracted density difference and the density difference reference value in the density difference reference value storage unit. And a determining unit for determining whether the eye is a falsified eye.
び印刷物上の眼のいずれかであることを特徴とする請求
項4記載の個人識別装置。5. The personal identification device according to claim 4, wherein the forged eye is one of a prosthetic eye, an eye on a photograph, and an eye on a printed matter.
部を前記特定領域とすることを特徴とする請求項4記載
の個人識別装置。6. The personal identification apparatus according to claim 4, wherein the eye image includes a peripheral part of the eye, and the peripheral part is the specific area.
画像の対応する特定領域の各濃度に基づいて作成された
濃度基準値が格納されている濃度基準値記憶部と、 前記抽出された濃度と該濃度基準値記憶部の前記濃度基
準値とを比較して偽造された眼か否かを判定する判定部
とを更に含むことを特徴とする請求項4記載の個人識別
装置。7. A density reference value storage unit storing a density reference value created based on each density of a corresponding specific region of each image of a forged eye and a previously obtained human eye image, The personal identification device according to claim 4, further comprising: a determination unit that compares the determined density with the density reference value in the density reference value storage unit and determines whether the eye is a forged eye.
撮像手段と、 撮像された前記眼画像の複数の特定領域の各濃度を抽出
する濃度抽出部と、 偽造した眼の画像の対応する前記複数の特定領域の濃度
比と予め得ていた人の眼の画像の対応する前記複数の特
定領域の濃度比とに基づいて作成された濃度比基準値が
格納されている濃度比基準値記憶部と、 前記抽出された前記複数の特定領域の濃度の比を抽出す
る濃度比抽出部と、 該抽出された濃度比と前記濃度比基準値記憶部の前記濃
度比基準値とを比較して偽造された眼か否かを判定する
判定部と、を含むことを特徴とする個人識別装置。8. An imaging means for capturing an eye image of an eye of a person to be imaged, a density extracting unit for extracting each density of a plurality of specific regions of the captured eye image, and a forgery image of the eye. A density ratio reference storing a density ratio reference value created based on the density ratio of the corresponding plurality of specific regions and the density ratio of the corresponding plurality of specific regions of the image of the human eye obtained in advance. A value storage unit; a density ratio extraction unit that extracts a ratio of the extracted densities of the plurality of specific regions; and a comparison between the extracted density ratio and the density ratio reference value of the density ratio reference value storage unit. And a determining unit for determining whether the eye is a falsified eye.
び印刷物上の眼のいずれかであることを特徴とする請求
項8記載の個人識別装置。9. The personal identification device according to claim 8, wherein the forged eye is one of a prosthetic eye, an eye on a photograph, and an eye on a printed matter.
辺部を前記特定領域とすることを特徴とする請求項8記
載の個人識別装置。10. The personal identification apparatus according to claim 8, wherein the eye image includes a peripheral part of the eye, and the peripheral part is the specific area.
各画像の対応する特定領域の各濃度に基づいて作成され
た濃度基準値が格納されている濃度基準値記憶部と、 前記抽出された濃度と該濃度基準値記憶部の前記濃度基
準値とを比較して偽造された眼か否かを判定する判定部
とを更に含むことを特徴とする請求項8記載の個人識別
装置。11. A density reference value storage unit that stores density reference values created based on the respective densities of the corresponding specific regions of the images of the forged eye and the human eye obtained in advance, and The personal identification device according to claim 8, further comprising: a determination unit that compares the obtained density with the density reference value in the density reference value storage unit to determine whether the eye is a forged eye.
の特定領域の濃度差と予め得ていた人の眼の画像の対応
する前記複数の特定領域の濃度差とに基づいて作成され
た濃度差基準値が格納されている濃度差基準値記憶部
と、 前記抽出された前記複数の特定領域の濃度の差を抽出す
る濃度差抽出部と、 該抽出された濃度差と前記濃度差基準値記憶部の前記濃
度差基準値とを比較して偽造された眼か否かを判定する
判定部とを更に含むことを特徴とする請求項8記載の個
人識別装置。12. A density created based on a density difference between the plurality of specific areas corresponding to the forged eye image and a density difference between the plurality of specific areas corresponding to the previously obtained human eye image. A density difference reference value storage unit that stores a difference reference value; a density difference extraction unit that extracts a difference between the extracted densities of the plurality of specific regions; a density difference and the density difference reference value The personal identification device according to claim 8, further comprising: a determination unit that compares the density difference reference value in a storage unit to determine whether the eye is a forged eye.
の撮像手段と、 撮像された前記眼画像の少なくとも一以上の特定領域を
抽出する領域抽出部と、 偽造した眼及び予め得ていた人の眼の各画像の対応する
前記特定領域の各濃度を微分して得た濃度微分値に基づ
いて作成された濃度微分基準値が格納されている濃度微
分基準値記憶部と、 前記抽出された特定領域の濃度を微分する濃度微分抽出
部と、 該抽出した濃度微分値と前記濃度微分基準値記憶部の前
記濃度微分値とを比較して偽造された眼か否かを判定す
る判定部と、を含むことを特徴とする個人識別装置。13. An image pickup means for picking up an eye image of an eye of a person to be imaged, an area extracting section for extracting at least one or more specific areas of the picked-up eye image; A density differential reference value storage unit that stores a density differential reference value created based on a density differential value obtained by differentiating each density of the specific region corresponding to each image of the human eye; A density differential extraction unit for differentiating the density of the specified area, and comparing the extracted density differential value with the density differential value of the density differential reference value storage unit to determine whether the eye is forged. A personal identification device, comprising:
分して得られる高次微分値であることを特徴とする請求
項13記載の個人識別装置。14. The personal identification device according to claim 13, wherein the density differential value is a higher-order differential value obtained by performing higher-order differentiation on the density.
及び印刷物上の眼のいずれかであることを特徴とする請
求項13記載の個人識別装置。15. The personal identification device according to claim 13, wherein the forged eye is one of a prosthetic eye, an eye on a photograph, and an eye on a printed matter.
周辺部も前記特定領域であることを特徴とする請求項1
3記載の個人識別装置。16. The eye image includes a peripheral part of the eye, and the peripheral part is also the specific area.
3. The personal identification device according to 3.
各画像の対応する特定領域の各濃度に基づいて作成され
た濃度基準値が格納されている濃度基準値記憶部と、 前記抽出された濃度と該濃度基準値記憶部の前記濃度基
準値とを比較して偽造された眼か否かを判定する判定部
とを更に含むことを特徴とする請求項13記載の個人識
別装置。17. A density reference value storage unit storing a density reference value created based on each density of a corresponding specific region of each image of a forged eye and a previously obtained human eye image, 14. The personal identification device according to claim 13, further comprising: a determination unit that compares the determined density with the density reference value in the density reference value storage unit to determine whether the eye is a forged eye.
の特定領域の濃度差と予め得ていた人の眼の画像の対応
する前記複数の特定領域の濃度差とに基づいて作成され
た濃度差基準値が格納されている濃度差基準値記憶部
と、 前記抽出された前記複数の特定領域の濃度の差を抽出す
る濃度差抽出部と、 該抽出された濃度差と前記濃度差基準値記憶部の前記濃
度差基準値とを比較して偽造された眼か否かを判定する
判定部とを更に含むことを特徴とする請求項13記載の
個人識別装置。18. A density created based on a density difference between the plurality of specific areas corresponding to a forged eye image and a density difference corresponding to the plurality of specific areas corresponding to a previously obtained human eye image. A density difference reference value storage unit that stores a difference reference value; a density difference extraction unit that extracts a difference between the extracted densities of the plurality of specific regions; a density difference and the density difference reference value 14. The personal identification device according to claim 13, further comprising: a determination unit that compares the density difference reference value in a storage unit to determine whether the eye is a forged eye.
の特定領域の濃度比と予め得ていた人の眼の画像の対応
する前記複数の特定領域の濃度比とに基づいて作成され
た濃度比基準値が格納されている濃度比基準値記憶部
と、 前記抽出された前記複数の特定領域の濃度の比を抽出す
る濃度比抽出部と、 該抽出された濃度比と前記濃度比基準値記憶部の前記濃
度比基準値とを比較して偽造された眼か否かを判定する
判定部とを更に含むことを特徴とする請求項13記載の
個人識別装置。19. A density created based on a density ratio of the plurality of specific regions corresponding to a forged eye image and a density ratio of the plurality of specific regions corresponding to a previously obtained human eye image. A density ratio reference value storage unit that stores a ratio reference value; a density ratio extraction unit that extracts a ratio of the extracted densities of the plurality of specific regions; a density ratio and the density ratio reference value 14. The personal identification device according to claim 13, further comprising: a determination unit configured to compare the density ratio reference value in a storage unit and determine whether the eye is a forged eye.
の撮像手段と、 撮像された前記眼画像の複数の特定領域を抽出する領域
抽出部と、 偽造した眼の画像の対応する前記複数の特定領域の各濃
度を微分して得た濃度微分値の差と予め得ていた人の眼
の画像の対応する前記複数の特定領域の各濃度を微分し
て得た濃度微分値の差とに基づいて作成された濃度微分
差基準値が格納されている濃度微分差基準値記憶部と、 前記抽出された前記複数の特定領域の各濃度を微分して
濃度微分値差を抽出する濃度微分差抽出部と、 該抽出された濃度微分値差と前記濃度微分差基準値記憶
部の前記濃度微分差基準値とを比較して偽造された眼か
否かを判定する判定部と、を含むことを特徴とする個人
識別装置。20. An image pickup means for picking up an eye image of an eye of a person to be imaged, an area extracting unit for extracting a plurality of specific areas of the picked-up eye image, and an image corresponding to a forged eye image. A difference between a density differential value obtained by differentiating each density of a plurality of specific areas and a density differential value obtained by differentiating each density of the plurality of specific areas corresponding to a previously obtained human eye image. A density differential difference reference value storage unit storing a density differential difference reference value created based on the above, and a density for differentiating each of the extracted densities of the plurality of specific regions to extract a density differential value difference. A differential difference extraction unit, and a determination unit for comparing the extracted density differential value difference with the density differential difference reference value of the density differential difference reference value storage unit to determine whether the eye is forged. A personal identification device characterized by including.
分して得られる高次微分値であることを特徴とする請求
項20記載の個人識別装置。21. The personal identification device according to claim 20, wherein the density differential value is a higher-order differential value obtained by higher-order differentiation of the density.
及び印刷物上の眼のいずれかであることを特徴とする請
求項20記載の個人識別装置。22. The personal identification device according to claim 20, wherein the forged eye is one of a prosthetic eye, an eye on a photograph, and an eye on a printed matter.
辺部を前記特定領域とすることを特徴とする請求項20
記載の個人識別装置。23. The apparatus according to claim 20, wherein the eye image includes a peripheral part of the eye, and the peripheral part is the specific area.
Described personal identification device.
各画像の対応する特定領域の各濃度に基づいて作成され
た濃度基準値が格納されている濃度基準値記憶部と、 前記抽出された濃度と該濃度基準値記憶部の前記濃度基
準値とを比較して偽造された眼か否かを判定する判定部
とを更に含むことを特徴とする請求項20記載の個人識
別装置。24. A density reference value storage unit that stores density reference values created based on the respective densities of the corresponding specific areas of the images of the forged eye and the human eye obtained in advance, and 21. The personal identification device according to claim 20, further comprising: a determination unit that compares the determined density with the density reference value in the density reference value storage unit to determine whether the eye is a forged eye.
の特定領域の濃度差と予め得ていた人の眼の画像の対応
する前記複数の特定領域の濃度差とに基づいて作成され
た濃度差基準値が格納されている濃度差基準値記憶部
と、 前記抽出された前記複数の特定領域の濃度の差を抽出す
る濃度差抽出部と、 該抽出された濃度差と前記濃度差基準値記憶部の前記濃
度差基準値とを比較して偽造された眼か否かを判定する
判定部とを更に含むことを特徴とする請求項20記載の
個人識別装置。25. A density created based on a density difference between the plurality of specific areas corresponding to a forged eye image and a density difference between the plurality of specific areas corresponding to a previously obtained human eye image. A density difference reference value storage unit that stores a difference reference value; a density difference extraction unit that extracts a difference between the extracted densities of the plurality of specific regions; a density difference and the density difference reference value 21. The personal identification device according to claim 20, further comprising: a determination unit that compares the density difference reference value in a storage unit to determine whether the eye is a forged eye.
の特定領域の濃度比と予め得ていた人の眼の画像の対応
する前記複数の特定領域の濃度比とに基づいて作成され
た濃度比基準値が格納されている濃度比基準値記憶部
と、 前記抽出された前記複数の特定領域の濃度の比を抽出す
る濃度比抽出部と、 該抽出された濃度比と前記濃度比基準値記憶部の前記濃
度比基準値とを比較して偽造された眼か否かを判定する
判定部とを更に含むことを特徴とする請求項20記載の
個人識別装置。26. A density created based on a density ratio of the plurality of specific areas corresponding to a forged eye image and a density ratio of the plurality of specific areas corresponding to a previously obtained human eye image. A density ratio reference value storage unit that stores a ratio reference value; a density ratio extraction unit that extracts a ratio of the extracted densities of the plurality of specific regions; a density ratio and the density ratio reference value 21. The personal identification device according to claim 20, further comprising: a determination unit that compares the density ratio reference value in a storage unit and determines whether the eye is a forged eye.
の撮像手段と、 撮像された前記眼画像の複数の特定領域を抽出する領域
抽出部と、 偽造した眼の画像の対応する前記複数の特定領域の各濃
度を微分して得た濃度微分値の比と予め得ていた人の眼
の画像の対応する前記複数の特定領域の各濃度を微分し
て得た濃度微分値の比とに基づいて作成された濃度微分
比基準値が格納されている濃度微分比基準値記憶部と、 前記抽出された前記複数の特定領域の各濃度を微分して
濃度微分値比を抽出する濃度微分比抽出部と、 該抽出された濃度微分値比と前記濃度微分比基準値記憶
部の前記濃度微分比基準値とを比較して偽造された眼か
否かを判定する判定部と、を含むことを特徴とする個人
識別装置。27. An image pickup means for picking up an eye image of an eye of a person to be imaged, an area extracting unit for extracting a plurality of specific areas of the picked-up eye image, and an image corresponding to a forged eye image. A ratio of a density differential value obtained by differentiating each density of a plurality of specific areas and a density differential value obtained by differentiating each density of the plurality of specific areas corresponding to a previously obtained human eye image. A density differential ratio reference value storage unit that stores a density differential ratio reference value created based on the above, and a density for extracting a density differential value ratio by differentiating each of the extracted densities of the plurality of specific regions. A differential ratio extraction unit, and a determination unit that compares the extracted density differential value ratio with the density differential ratio reference value of the density differential ratio reference value storage unit to determine whether the eye is forged. A personal identification device characterized by including.
分して得られる高次微分値であることを特徴とする請求
項27記載の個人識別装置。28. The personal identification device according to claim 27, wherein the density differential value is a higher-order differential value obtained by higher-order differentiation of the density.
及び印刷物上の眼のいずれかであることを特徴とする請
求項27記載の個人識別装置。29. The personal identification device according to claim 27, wherein the forged eye is one of a prosthetic eye, an eye on a photograph, and an eye on a printed matter.
辺部を前記特定領域とすることを特徴とする請求項27
記載の個人識別装置。30. The eye image includes a peripheral portion of the eye, and the peripheral portion is the specific region.
Described personal identification device.
各画像の対応する特定領域の各濃度に基づいて作成され
た濃度基準値が格納されている濃度基準値記憶部と、 前記抽出された濃度と該濃度基準値記憶部の前記濃度基
準値とを比較して偽造された眼か否かを判定する判定部
とを更に含むことを特徴とする請求項27記載の個人識
別装置。31. A density reference value storage unit storing a density reference value created based on each density of a corresponding specific region of each image of a forged eye and a previously obtained human eye image, 28. The personal identification device according to claim 27, further comprising: a determination unit that compares the determined density with the density reference value in the density reference value storage unit to determine whether the eye is a forged eye.
の特定領域の濃度差と予め得ていた人の眼の画像の対応
する前記複数の特定領域の濃度差とに基づいて作成され
た濃度差基準値が格納されている濃度差基準値記憶部
と、 前記抽出された前記複数の特定領域の濃度の差を抽出す
る濃度差抽出部と、 該抽出された濃度差と前記濃度差基準値記憶部の前記濃
度差基準値とを比較して偽造された眼か否かを判定する
判定部とを更に含むことを特徴とする請求項27記載の
個人識別装置。32. A density created based on a density difference between the plurality of specific regions corresponding to a forged eye image and a density difference between the plurality of specific regions corresponding to a previously obtained human eye image. A density difference reference value storage unit that stores a difference reference value; a density difference extraction unit that extracts a difference between the extracted densities of the plurality of specific regions; a density difference and the density difference reference value 28. The personal identification device according to claim 27, further comprising: a determination unit configured to compare the density difference reference value in a storage unit and determine whether the eye is a forged eye.
の特定領域の濃度比と予め得ていた人の眼の画像の対応
する前記複数の特定領域の濃度比とに基づいて作成され
た濃度比基準値が格納されている濃度比基準値記憶部
と、 前記抽出された前記複数の特定領域の濃度の比を抽出す
る濃度比抽出部と、 該抽出された濃度比と前記濃度比基準値記憶部の前記濃
度比基準値とを比較して偽造された眼か否かを判定する
判定部とを更に含むことを特徴とする請求項27記載の
個人識別装置。33. A density created based on a density ratio of the plurality of specific regions corresponding to a forged eye image and a density ratio of the plurality of specific regions corresponding to a previously obtained human eye image. A density ratio reference value storage unit that stores a ratio reference value; a density ratio extraction unit that extracts a ratio of the extracted densities of the plurality of specific regions; a density ratio and the density ratio reference value 28. The personal identification device according to claim 27, further comprising: a determination unit that determines whether the eye is a forged eye by comparing the density ratio reference value in a storage unit.
の撮像手段と、 撮像された前記眼画像の少なくとも一以上の特定領域を
抽出する領域抽出部と、 偽造した眼及び予め得ていた人の眼の各画像の対応する
前記特定領域の各濃度を空間周波数変換して得た空間周
波数値に基づいて作成された空間周波数基準値が格納さ
れている空間周波数基準値記憶部と、 前記抽出された特定領域の濃度を空間周波数に変換して
空間周波数値を抽出する抽出部と、 該抽出した空間周波数値と前記空間周波数基準値記憶部
の前記空間周波数値とを比較して偽造された眼か否かを
判定する判定部と、を含むことを特徴とする個人識別装
置。34. An image pickup means for picking up an eye image of an eye of a person to be imaged, an area extracting unit for extracting at least one or more specific areas of the picked-up eye image; A spatial frequency reference value storage unit that stores a spatial frequency reference value created based on a spatial frequency value obtained by performing spatial frequency conversion on each density of the specific region corresponding to each image of the human eye, An extraction unit that converts the density of the extracted specific region into a spatial frequency to extract a spatial frequency value, and compares the extracted spatial frequency value with the spatial frequency value of the spatial frequency reference value storage unit, and forges. And a determining unit for determining whether the eye is a detected eye.
及び印刷物上の眼のいずれかであることを特徴とする請
求項34記載の個人識別装置。35. The personal identification apparatus according to claim 34, wherein the forged eye is one of a prosthetic eye, an eye on a photograph, and an eye on a printed matter.
周辺部も前記特定領域であることを特徴とする請求項3
4記載の個人識別装置。36. The eye image includes a peripheral portion of the eye, and the peripheral portion is also the specific region.
4. The personal identification device according to 4.
各画像の対応する特定領域の各濃度に基づいて作成され
た濃度基準値が格納されている濃度基準値記憶部と、 前記抽出された濃度と該濃度基準値記憶部の前記濃度基
準値とを比較して偽造された眼か否かを判定する判定部
とを更に含むことを特徴とする請求項34記載の個人識
別装置。37. A density reference value storage unit that stores density reference values created based on the densities of the corresponding specific areas of the images of the forged eye and the human eye obtained in advance, and 35. The personal identification device according to claim 34, further comprising: a determination unit that compares the determined density with the density reference value in the density reference value storage unit to determine whether the eye is a forged eye.
の特定領域の濃度差と予め得ていた人の眼の画像の対応
する前記複数の特定領域の濃度差とに基づいて作成され
た濃度差基準値が格納されている濃度差基準値記憶部
と、 前記抽出された前記複数の特定領域の濃度の差を抽出す
る濃度差抽出部と、 該抽出された濃度差と前記濃度差基準値記憶部の前記濃
度差基準値とを比較して偽造された眼か否かを判定する
判定部とを更に含むことを特徴とする請求項34記載の
個人識別装置。38. A density created based on a density difference between the plurality of specific areas corresponding to a forged eye image and a density difference between the plurality of specific areas corresponding to a previously obtained human eye image. A density difference reference value storage unit that stores a difference reference value; a density difference extraction unit that extracts a difference between the extracted densities of the plurality of specific regions; a density difference and the density difference reference value 35. The personal identification device according to claim 34, further comprising: a determination unit that determines whether the eye is a forged eye by comparing the density difference reference value in a storage unit.
の特定領域の濃度比と予め得ていた人の眼の画像の対応
する前記複数の特定領域の濃度比とに基づいて作成され
た濃度比基準値が格納されている濃度比基準値記憶部
と、 前記抽出された前記複数の特定領域の濃度の比を抽出す
る濃度比抽出部と、 該抽出された濃度比と前記濃度比基準値記憶部の前記濃
度比基準値とを比較して偽造された眼か否かを判定する
判定部とを更に含むことを特徴とする請求項34記載の
個人識別装置。39. A density created based on a density ratio of the plurality of specific areas corresponding to a forged eye image and a density ratio of the plurality of specific areas corresponding to a previously obtained human eye image. A density ratio reference value storage unit that stores a ratio reference value; a density ratio extraction unit that extracts a ratio of the extracted densities of the plurality of specific regions; a density ratio and the density ratio reference value 35. The personal identification device according to claim 34, further comprising: a determination unit that determines whether the eye is a forged eye by comparing the density ratio reference value in a storage unit.
る光を照射する複数の照明手段を更に備え、 前記撮像手段に、該各照明手段が光を照射する毎に前記
被撮像者の眼の眼画像を撮像させることを特徴とする請
求項1、請求項4、請求項8、請求項13、請求項2
0、請求項27及び請求項34のいずれかに記載の個人
識別装置。40. The image capturing apparatus further comprising: a plurality of illumination means for irradiating the image-captured person with light having different wavelengths, wherein each time each of the illumination means irradiates light to the image-captured eye, An image of an eye is picked up.
35. The personal identification device according to claim 27.
置された一対の照明手段により前記眼及びその周辺に陰
を生じさせるべく斜め方向から光をそれぞれ照射し、 該光を照射する毎に前記被撮像者の眼及びその周辺を撮
像手段にて撮像して前記各照明手段に対応する各眼画像
を取得し、 前記両眼画像の各濃度領域を照合して前記被撮像者の眼
が偽造されているか否かを判定することを特徴とする眼
偽造判定方法。41. A peripheral portion including the eye of the subject is irradiated with light from a diagonal direction by a pair of illuminating means disposed opposite to each other so as to create a shadow in the eye and the periphery thereof. Each time, the eye of the subject and its surroundings are imaged by an imaging unit to obtain each eye image corresponding to each of the lighting units, and the density regions of the binocular images are collated to obtain the image of the subject. A method for determining forgery of an eye, comprising determining whether or not the eye is forged.
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Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH11339048A (en) * | 1998-05-29 | 1999-12-10 | Omron Corp | Individual identifying device and method and recording medium for recording individual identification program |
JPH11346323A (en) * | 1998-05-29 | 1999-12-14 | Oki Electric Ind Co Ltd | Eyeball image pickup device |
-
2001
- 2001-04-13 JP JP2001115175A patent/JP2002312772A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH11339048A (en) * | 1998-05-29 | 1999-12-10 | Omron Corp | Individual identifying device and method and recording medium for recording individual identification program |
JPH11346323A (en) * | 1998-05-29 | 1999-12-14 | Oki Electric Ind Co Ltd | Eyeball image pickup device |
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