JPH0219992A - Stained bill detector - Google Patents

Stained bill detector

Info

Publication number
JPH0219992A
JPH0219992A JP63170601A JP17060188A JPH0219992A JP H0219992 A JPH0219992 A JP H0219992A JP 63170601 A JP63170601 A JP 63170601A JP 17060188 A JP17060188 A JP 17060188A JP H0219992 A JPH0219992 A JP H0219992A
Authority
JP
Japan
Prior art keywords
bill
banknote
image sensor
linear image
picture data
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
Application number
JP63170601A
Other languages
Japanese (ja)
Inventor
Katsunori Takahashi
勝則 高橋
Koichi Nakamura
晃一 中村
Itaru Fukushima
格 福島
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.)
NEC Corp
Original Assignee
NEC Corp
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 NEC Corp filed Critical NEC Corp
Priority to JP63170601A priority Critical patent/JPH0219992A/en
Publication of JPH0219992A publication Critical patent/JPH0219992A/en
Pending legal-status Critical Current

Links

Abstract

PURPOSE:To prevent the payment of a stained bill by recognizing the kind of currency and the direction of the bill by a signal from a transmission type linear image sensor and recognizing the stain of the bill by another signal from a reflection type linear image sensor. CONSTITUTION:The title device is equipped with a transmission type linear image sensor 1, reflection type linear image sensors 2 and 3, and a recognition processing part 5. Further, the device recognizes the kind of currency and the direction of the bill by identifying the number and the positions of round hole shaped watermarks from picture data obtained from the output of the transmission type image sensor 1, further extracts the picture data of watermark parts from picture data obtained from the outputs of the reflection type image sensors 2 and 3, and detects the stained bill by comparing the luminance distribution of the extracted picture data with the luminance distribution of the picture data when the bill has no stain. Thus, the paying out of the stained bill can be prevented.

Description

【発明の詳細な説明】 〔産業上の利用分野〕 本発明は銀行等の金融機関における金銭目動預払装置に
関し、特に汚損紙幣検出装置に関する。
DETAILED DESCRIPTION OF THE INVENTION [Industrial Field of Application] The present invention relates to a cash deposit system in a financial institution such as a bank, and particularly to a defaced banknote detection device.

〔従来の技術〕[Conventional technology]

従来、目動預払装置においては紙幣の真贋判定および金
種の鑑別が最重要であり、紙幣の印刷されたデザインや
磁気インクのパターンを認識する鑑別が行われてきた。
Conventionally, in visual teller machines, the most important aspects are determining the authenticity and denomination of banknotes, and discrimination has been performed by recognizing printed designs and magnetic ink patterns on banknotes.

″また、最近の傾向として紙幣上の金種を示すスカシ部
分を用いて、金種とともに紙幣の表裏の判定を行う試み
がある(例えばtF!PH昭60−276848号によ
る)。
``Also, as a recent trend, there has been an attempt to determine the front and back sides of a banknote as well as the denomination by using a scarf part indicating the denomination on the banknote (for example, according to tF!PH No. 1988-276848).

〔発明が解決しようとする課題〕[Problem to be solved by the invention]

上述した従来の預払装置では、真贋及び金種の鑑別を行
うことにより、紙幣以外のものを紙幣として受は入れた
う誤った金額の紙幣を払出してしまう事故は防げるよう
になり次が、入金される紙幣は真券であっても必ずしも
きれいな紙幣とは限らず、例えば落書がされていたり汚
れが付着した紙幣であっても受は入れられる。近年普及
してきた自動環流装置にあっては、汚損紙幣が顧客への
払出しにそのまま出金され、受は取った顧客の気分を害
してしまうという欠点があった。
By distinguishing the authenticity and denomination of the above-mentioned conventional depository machines, it is possible to prevent accidents such as accepting items other than banknotes as banknotes and dispensing the wrong amount of banknotes. Even if the banknotes to be deposited are genuine, they are not necessarily clean; for example, even banknotes with graffiti or dirt on them can be accepted. Automatic recycling devices, which have become popular in recent years, have the disadvantage that tainted banknotes are dispensed as they are to the customer, which offends the customer who took the banknotes.

本発明の目的は金種とともに汚損状M’を検出するよう
にして上記の欠点を改善した汚損紙幣検出装置を提供す
ることKある。
SUMMARY OF THE INVENTION An object of the present invention is to provide a defaced banknote detection device that improves the above-mentioned drawbacks by detecting defacement M' as well as the denomination.

〔課題を解決するための手段〕[Means to solve the problem]

本発明の汚損紙幣検出装置は、紙幣面を照光する光源と
、前記f源から発生し紙幣を透過してきた光を集光する
果元レンズと、前記集光レンズにより得られた画像イメ
ージを検知する受光器とを含む透過型リニアイメージセ
ンサと、 紙幣面を照光する光源と、前記光源から発生し前記紙幣
面で反射してきた光を集光する集光レンズと、前記集光
レンズにより得られた画像イメージを検知する受光器と
を含む少なくとも1組の反射型リニアイメージセンサと
、 前記透過型IJ ニアイメージセンサからの信号により
紙幣の金種および向きを認識する手段と、前記反射II
) IJニアイメージセンサからの信号により紙幣の汚
損を認識する手段とを有することを特徴とする。
The soiled banknote detection device of the present invention includes a light source that illuminates the banknote surface, a base lens that collects light generated from the f source and transmitted through the banknote, and detects an image obtained by the condenser lens. a transmission linear image sensor including a light receiver that illuminates the banknote surface; a light source that illuminates the banknote surface; a condenser lens that condenses light generated from the light source and reflected by the banknote surface; at least one set of reflective linear image sensors including a light receiver for detecting an image image; a means for recognizing the denomination and orientation of a banknote based on a signal from the transmissive IJ near image sensor;
) A means for recognizing defacement of banknotes based on a signal from an IJ near image sensor.

〔実施例〕〔Example〕

次に、本発明について図面を参照して説明する。 Next, the present invention will be explained with reference to the drawings.

第1図は本発明の一実施例のブロック図である。FIG. 1 is a block diagram of one embodiment of the present invention.

同図において汚損紙幣(焚出装置は、紙幣4の走行路に
LEI)アレイのt伽101.果うtレンズ102゜フ
ァイバーレンズ103.ラインセンサ104と桑与垂ゐ
を有する透過型リニアイメージセンサ1と、L HDア
レイft、源2011束元レンズ202゜ファイバーレ
ンズ203.ラインセンサ204 全有するらル1の反
射型リニアイメージセンサ2と、および紙幣4に対して
反射型イメージセンサ2の5とを具備している。
In the same figure, a t-101. T-lens 102° fiber lens 103. A transmission type linear image sensor 1 having a line sensor 104 and a cross section, an L HD array ft, a source 2011, a focusing lens 202, and a fiber lens 203. The line sensor 204 is equipped with a reflective linear image sensor 2 for all the lines 1, and a reflective image sensor 2 for the banknote 4 (5).

透過型リニアイメージセンサ1においテ、光源101か
ら発生し集光し/ズ102で集光された元は紙幣4を透
過し、透過光はファイバーレンズ103によりラインセ
ンサ104上に紙面上のイメージを結像し、紙幣の走行
により光学的に紙面上を走査し、走査結果はスキャン信
号となってラインセンサ104より連続的に発生する。
In the transmission type linear image sensor 1, light is generated from a light source 101 and collected by a light source 102. The transmitted light is transmitted through the banknote 4, and the transmitted light is transferred to a line sensor 104 by a fiber lens 103 to form an image on the paper. An image is formed and the paper surface is optically scanned by the running of the bill, and the scanning result is continuously generated by the line sensor 104 as a scan signal.

反射型リニアイメージセンサ2.および3の場合も同様
に、yt、ω201(301)から発生し集光レンズ2
02(302)で集光された元は紙幣4の表面で反射し
、反射元はファイバーレンズ203(303)によりラ
インセンサ204(304)上に紙幣の表(裏)面のイ
メージを結像し、紙幣の走行によって光学的に紙面上を
走食し、定量信号はスキャン信号となってラインセンサ
204(304)より連続的に発生する。
Reflective linear image sensor 2. Similarly, in the case of 3 and 3, it is generated from yt, ω201 (301) and the condenser lens 2
02 (302) is reflected on the surface of the banknote 4, and the reflection source forms an image of the front (back) side of the banknote on the line sensor 204 (304) by the fiber lens 203 (303). , as the bill runs, it optically runs across the paper surface, and the quantitative signal becomes a scan signal and is continuously generated by the line sensor 204 (304).

上記のように反射型イメージセンサを紙幣の両側に配置
することにより紙幣の表面と裏面の汚れを同時に検知で
きる。
By arranging reflective image sensors on both sides of a banknote as described above, dirt on the front and back sides of the banknote can be detected simultaneously.

上記ラインセンナ104,204.304より発生した
スキャン信号は、認識処理s5を構成するマルチプレク
サ501.アナログ・デジタル変換器502.マイクロ
プロセッサ503を介してメモIJ 504に画像デー
タとして取り込まれ、この画像データをもとに紙幣の汚
損を判定する。
The scan signals generated from the line sensor 104, 204.304 are sent to the multiplexer 501. Analog-to-digital converter 502. The image data is imported into the memo IJ 504 via the microprocessor 503, and based on this image data, it is determined whether the banknote is defaced.

紙幣の汚れはその汚損紙幣を手にした人の気分を害する
ものであるが、紙幣の表面には肖像画や図案などの−1
!雑な印刷模様があシ、印刷の部分の汚れはあまり気に
ならない。一方、透し部は地色が白く面積も広いので、
透し部の汚れは非常に目につきやすく気がかりである。
Dirt on banknotes offends the person who holds the defaced banknote, but the surface of the banknote has portraits, designs, etc.
! There is a rough print pattern, and I don't really care about the dirt on the printed part. On the other hand, the transparent part has a white background and a large area, so
Dirt on the transparent parts is very noticeable and worrisome.

したがって、こ\では透し部の汚れの検出方法について
例示する。
Therefore, here we will exemplify a method for detecting stains on the watermark section.

第2図は紙幣の金ね、向きと丸穴状透し、および透しの
位置の関係を示す説明図である。紙幣の表面には、金種
を示す丸穴状の透しく丸穴)401が施されてあり、こ
れは紙幣の向きを認識するために有効な手段となる。同
図tal l Ibl I (CIのように、丸穴40
1が左下隅にあるときは表の正立、同図Idl 、 (
IJ 、げ)のように右上隅にあるときは衣の倒立とい
うことがわかる。また、丸穴が1個であれば1000円
紙幣(千円券)、2個が縦に並ぶと5000円紙幣(五
千円券う、2個が横に並ぶとl0000円紙幣(万円券
)というように、丸穴の数と位置によって当該紙幣の金
種と向きを識別できる。
FIG. 2 is an explanatory diagram showing the relationship between the gold plate of a banknote, its orientation, a round hole-shaped watermark, and the position of the watermark. A transparent round hole 401 indicating the denomination is provided on the surface of the banknote, and this serves as an effective means for recognizing the orientation of the banknote. tal l Ibl I (like CI, round hole 40
When 1 is in the lower left corner, the table is erect, the same figure Idl, (
When it is in the upper right corner like IJ, ge), you can tell that it is a handstand on the clothes. Also, if there is one round hole, it will be a 1,000 yen bill (1,000 yen note), if two holes are lined up vertically, it will be a 5,000 yen note (5,000 yen note), if two holes are lined up horizontally, it will be a 10,000 yen note (10,000 yen note). ), the denomination and orientation of the banknote can be identified by the number and position of the round holes.

丸穴は透しになっているので、丸穴部分を透過する元は
丸穴の周囲を透過する元と比べて透過光量が多い。した
がって透過型リニアイメージセンサ1の出力信号から得
られメモ’j −504に取込まれた透過画像データに
ついて、周囲よりも輝度が高くなっている部分′jt調
べることにより、丸穴の位置、敷金識別し、金種、向き
を判定できる。
Since the round hole is transparent, the amount of light transmitted through the round hole is larger than that transmitted around the round hole. Therefore, by examining the part of the transmitted image data obtained from the output signal of the transmitted linear image sensor 1 and captured in the memo 'j-504, where the brightness is higher than the surrounding area, the position of the round hole and the security deposit can be determined. It is possible to identify, denomination, and direction.

また、透し5402は、千円券については中心付近から
ややずれた位置、五千円券については端部、万円券につ
いてはほぼ中心位置にあり、金種により透し部の位置が
異なり、さらに同−金種でも、例えば千円券について同
図+a1. (al 、 (gr 、 (jrのように
向きによっても位置、形状が異なってくる。
In addition, the watermark 5402 is located slightly off center for 1,000 yen notes, at the edge of 5,000 yen notes, and approximately at the center for 10,000 yen notes, and the position of the watermark varies depending on the denomination. , Furthermore, even for the same denomination, for example, for a 1,000 yen note, the figure +a1. (al, (gr, (jr), the position and shape differ depending on the orientation.

従って、透し部の汚れを調べる場合、その透しの位置が
金種、向きによって変ってくるので、適正な検出範囲を
設定するためには上記の丸穴による金種、向きの識別が
有効となってくる。
Therefore, when checking for dirt on the watermark, the position of the watermark changes depending on the denomination and orientation, so identifying the denomination and orientation using the round hole described above is effective in setting the appropriate detection range. It becomes.

第3図は汚れの判定方法を説明する説明図である。反射
型リニアイメージセンサ−2または3の出力信号から得
られ、メモリ504に取り込まれた反射画像データにつ
いて、前記丸穴の数9位置の情報より得られた金種およ
び向きから決まる透しの位置、形状にもとづき、上記反
射画像データから透し部分のみの画像データを抽出する
。この抽出は、金埋、向きごとにマスクパターンを用意
し、反射画像データにマスクをかけることによって実現
できる。
FIG. 3 is an explanatory diagram illustrating a method for determining dirt. Regarding the reflection image data obtained from the output signal of the reflection linear image sensor 2 or 3 and captured in the memory 504, the position of the watermark determined from the denomination and orientation obtained from the information on the number 9 positions of the round holes. , based on the shape, image data of only the watermark part is extracted from the reflection image data. This extraction can be achieved by preparing a mask pattern for each direction and applying a mask to the reflection image data.

抽出された透し部の画像データについて、その輝度とデ
ータ数の分7F5を見ると、紙幣の透し部は地色が白に
近い色であるため反射率が高く、第3図(bJの■のよ
うに汚れがない場合は輝度分布は輝度の高いところに県
中している力鳳第3図(a)の■参照)、汚れ6が付着
するとその汚れ部分では反射率が低下するため分布状態
が変化してくる。すなわち、第3図(b)の■のように
面積は小さいが磯い汚れ、同じく■のように淡いが面積
の大きい汚れ。
Regarding the image data of the extracted transparent part, looking at 7F5 for its brightness and the number of data, it is found that the background color of the transparent part of banknotes is close to white, so the reflectance is high, and as shown in Figure 3 (bJ) If there is no dirt as shown in ■, the brightness distribution will be distributed throughout the prefecture in areas with high brightness (see ■ in Figure 3 (a)), but if dirt 6 adheres, the reflectance will decrease in that dirty area. The state of distribution is changing. In other words, the dirt is small in area but rough as shown in ■ in FIG. 3(b), and the dirt is pale but large in area as shown in ■.

同じく■のように鏝くて面積の大きい汚れのように、汚
れの性状により輝度分布の状態が変化する(第3図(a
lの■〜■参照)。
Similarly, the state of the brightness distribution changes depending on the nature of the dirt, as in the case of dirt with a large surface area (see Figure 3 (a)).
(Refer to ■~■ in l).

従って、あらかじめメモリ504に記憶している汚れの
ない場合の基準輝度分布のパターン■と、画像データよ
り得られた輝度分布のパターンとをマイクロプロセッサ
503にて比較することにより、汚れの有無のみならず
、汚れの性状までも識別することができる。
Therefore, by comparing the reference luminance distribution pattern (2) in the case of no dirt stored in the memory 504 in advance with the luminance distribution pattern obtained from the image data, the microprocessor 503 can detect only the presence or absence of dirt. It is also possible to identify the nature of the stain.

こ\では透し部の汚れについて説明したが、検出対象部
の切出しが異なるだけで他のどの部分も同じ方式を適用
できる。つまシ任意の検出対象部についてのマスクパタ
ーンを用意すれはよい。ただし、その検出対象部に対し
ての基準輝度分布パターンも用意する必要がある。
In this article, we have explained the dirt on the watermark, but the same method can be applied to any other part, just the extraction of the detection target part is different. It is sufficient to prepare a mask pattern for any part to be detected. However, it is also necessary to prepare a reference brightness distribution pattern for the detection target portion.

〔発明の効果〕〔Effect of the invention〕

以上説明したように、本発明によれば透過型イメージセ
ンサの出力よシ得られる画像データから丸穴状の透しの
数および位t’を識別して金種および向きを認識し、さ
らに反射型イメージセンサの出力より得られる画像デー
タから透し部の画像データを抽出し、その輝度分布を汚
れのない場合の輝度分布と比較することにより汚損紙幣
の検出が可能となり、汚損紙幣を払い出すことを防止で
きる効果がある。
As explained above, according to the present invention, the number and position t' of round hole-shaped watermarks are identified from the image data obtained from the output of a transmission image sensor, the denomination type and direction are recognized, and the denomination and direction are recognized. By extracting the image data of the watermark from the image data obtained from the output of the type image sensor and comparing the brightness distribution with the brightness distribution of a clean bill, it is possible to detect a soiled banknote and dispense the soiled banknote. It has the effect of preventing this.

【図面の簡単な説明】[Brief explanation of the drawing]

第1図は本発明の一実施例のブロック図、第2図は紙幣
の金種、向きと丸穴状透しおよび透しの位置の関係を示
す説明図、第3図は汚れの判定方式を示す説明図である
。 1・・・透過型リニアイメージセンサ、2.3・・・反
射型リニアイ゛メージセンサ、4・・・紙幣、5・・・
認識処理部、6・・・汚れ。 代理人 弁理士  内 原   晋
Fig. 1 is a block diagram of an embodiment of the present invention, Fig. 2 is an explanatory diagram showing the relationship between the denomination and orientation of banknotes, round hole-shaped watermarks, and the position of the watermarks, and Fig. 3 is a dirt determination method. FIG. 1... Transmissive linear image sensor, 2.3... Reflective linear image sensor, 4... Banknote, 5...
Recognition processing section, 6...Dirty. Agent Patent Attorney Susumu Uchihara

Claims (1)

【特許請求の範囲】 紙幣面を照光する光源と、前記光源から発生し紙幣を透
過してきた光を集光する集光レンズと、前記集光レンズ
により得られた画像イメージを検知する受光器とを含む
透過型リニアイメージセンサと、 紙幣面を照光する光源と、前記光源から発生し前記紙幣
面で反射してきた光を集光する集光レンズと、前記集光
レンズにより得られた画像イメージを検知する受光器と
を含む少なくとも1組の反射型リニアイメージセンサと
、 前記透過型リニアイメージセンサからの信号により紙幣
の金種および向きを認識する手段と、前記反射型リニア
イメージセンサからの信号により紙幣の汚損を認識する
手段とを有することを特徴とする汚損紙幣検出装置。
[Scope of Claims] A light source that illuminates the banknote surface, a condenser lens that condenses light generated from the light source and transmitted through the banknote, and a light receiver that detects the image obtained by the condenser lens. a transmission-type linear image sensor including: a light source that illuminates the banknote surface; a condenser lens that condenses light generated from the light source and reflected by the banknote surface; and an image obtained by the condenser lens. at least one set of reflective linear image sensors including a light receiver for detection; means for recognizing the denomination and orientation of banknotes based on signals from the transmissive linear image sensor; A soiled banknote detection device comprising: means for recognizing soiled banknotes.
JP63170601A 1988-07-08 1988-07-08 Stained bill detector Pending JPH0219992A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP63170601A JPH0219992A (en) 1988-07-08 1988-07-08 Stained bill detector

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP63170601A JPH0219992A (en) 1988-07-08 1988-07-08 Stained bill detector

Publications (1)

Publication Number Publication Date
JPH0219992A true JPH0219992A (en) 1990-01-23

Family

ID=15907873

Family Applications (1)

Application Number Title Priority Date Filing Date
JP63170601A Pending JPH0219992A (en) 1988-07-08 1988-07-08 Stained bill detector

Country Status (1)

Country Link
JP (1) JPH0219992A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1434176A1 (en) * 2002-12-27 2004-06-30 Mars, Incorporated Banknote validator
EP1434177A2 (en) * 2002-12-27 2004-06-30 Mars Incorporated Banknote validator
EP2113888A1 (en) * 2007-02-22 2009-11-04 Kabushiki Kaisha Toshiba Degree-of-stain judging device and degree-of-stain judging method
US7933449B2 (en) 2006-03-23 2011-04-26 Kabushiki Kaisha Toshiba Pattern recognition method
CN103456074A (en) * 2012-05-29 2013-12-18 日立欧姆龙金融系统有限公司 Paper processing device, paper processing method, automatic trading system

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1434176A1 (en) * 2002-12-27 2004-06-30 Mars, Incorporated Banknote validator
EP1434177A2 (en) * 2002-12-27 2004-06-30 Mars Incorporated Banknote validator
EP1434177A3 (en) * 2002-12-27 2004-08-04 Mars Incorporated Banknote validator
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