JPH02148383A - Method of discriminating paper money - Google Patents
Method of discriminating paper moneyInfo
- Publication number
- JPH02148383A JPH02148383A JP63303616A JP30361688A JPH02148383A JP H02148383 A JPH02148383 A JP H02148383A JP 63303616 A JP63303616 A JP 63303616A JP 30361688 A JP30361688 A JP 30361688A JP H02148383 A JPH02148383 A JP H02148383A
- Authority
- JP
- Japan
- Prior art keywords
- banknote
- value
- paper money
- degree
- discriminated
- 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 7
- 238000010586 diagram Methods 0.000 claims description 7
- 238000012850 discrimination method Methods 0.000 claims description 7
- 230000003287 optical effect Effects 0.000 description 7
- 238000005259 measurement Methods 0.000 description 5
- 238000007796 conventional method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001771 impaired effect Effects 0.000 description 1
Landscapes
- Inspection Of Paper Currency And Valuable Securities (AREA)
Abstract
Description
この発明は、被鑑別紙幣のもつ特徴量を測定。
演算して求め、ファジィ推論を用いてその紙幣がどの金
種に属するか、またその属すると言える度合はどの位か
を求める、正確で実際的な紙幣鑑別方法に関する。This invention measures the characteristics of the banknotes to be verified. The present invention relates to an accurate and practical banknote discrimination method that calculates and uses fuzzy inference to determine which denomination a banknote belongs to, and to what degree it can be said that the banknote belongs.
従来の紙幣鑑別方法は、被鑑別紙幣の長手方向寸法、被
鑑別紙幣の透過２反射による光学的パターン、または磁
気的パターンなどの特徴量の値を測定ないし演算して求
め、これらの値を手掛りとして、これら単独にまたは複
数の組合せに基づいて、紙幣の真偽ないし金種を鑑別す
るというものである。Conventional banknote discrimination methods measure or calculate the values of characteristic quantities such as the longitudinal dimension of the banknote to be distinguished, the optical pattern of the banknote to be distinguished through transmission and reflection, or the magnetic pattern, and use these values as clues. The authenticity or denomination of banknotes is determined based on these methods alone or in combination.
一般に紙幣は、その複雑な流通過程のため、鑑別の手掛
りとなる紙幣の特徴量、たとえば紙幣の長手方向寸法ま
たは紙幣の各箇所に係る透光量の度数分布の傾向が、多
くの要因によって複雑、微妙に変動する、つまり「あい
まい」な値をとる。
そのために、従来の方法では鑑別の確度が著しく阻害さ
れる、という問題がある。
この発明の課題は、従来の技術がもつ以上の問題点を解
消し、正確で実際的な紙幣鑑別方法を提供することにあ
る。Generally, banknotes have a complicated circulation process, so the characteristics of banknotes that provide clues for identification, such as the longitudinal dimension of banknotes or the frequency distribution of the amount of light transmitted at each part of the banknote, are complicated due to many factors. , which fluctuates slightly, that is, takes an "ambiguous" value. For this reason, there is a problem in that the accuracy of identification is significantly impaired in conventional methods. An object of the present invention is to provide an accurate and practical method for validating banknotes by solving the above-mentioned problems of the conventional techniques.
この課題を解決するために、本発明に係る紙幣鑑別方法
は、
紙幣のもつ特徴量、たとえば紙幣の長手方向寸法または
紙幣の各箇所に係る透光量の度数分布の傾向のとり得る
値と、前記紙幣が各金種に属すると言える度合との関数
関係を、たとえば特１ｖｈｆｆｉのとり得る値を横軸に
紙幣が各金種に属すると言える度合を縦軸にとったとき
、三角山形の線図で表して求める工程と；
被鑑別紙幣について実際に得られた前記特＠量の値と、
前記各関数関係とに基づいて、前記被鑑別紙幣が属すべ
き金種と、この金種に属すると言える度合とを求める工
程と；を備える。In order to solve this problem, the banknote discrimination method according to the present invention includes: a characteristic value of a banknote, for example, a possible value of the longitudinal dimension of the banknote or a tendency of the frequency distribution of the amount of light transmitted at each location of the banknote; The functional relationship between the degree to which the banknote can be said to belong to each denomination, for example, when the horizontal axis is the possible value of 1vhffi and the vertical axis is the degree to which the banknote can be said to belong to each denomination, the triangular chevron line a step of representing and determining in a diagram; the value of the special @ amount actually obtained for the banknote to be verified;
A step of determining the denomination to which the banknote to be verified belongs and the degree to which it can be said to belong to this denomination based on each of the functional relationships.
まず、紙幣のもつ特徴量、たとえば紙幣の長手方向寸法
または紙幣の各箇所に係る透光量の度数分布の傾向のと
りうる値と、その紙幣が各金種に属すると言える度合と
の関数関係が、たとえば金種別に三角山形の線図で表さ
れる。つまり、特徴量の各値のファジィ集合に対するメ
ンバーシップ関数が規定される。
次に、被鑑別紙幣について実際に得られた特徴量の値と
、各関数関係たとえば表された各線図とに基づいて、被
鑑別紙幣が属すべき金種と、この金種に属すると言える
度合とが求められる。First, the functional relationship between the characteristic values of a banknote, such as the longitudinal dimension of the banknote or the tendency of the frequency distribution of the amount of light transmitted at each location of the banknote, and the degree to which the banknote can be said to belong to each denomination. For example, each denomination is represented by a triangular chevron diagram. That is, a membership function for the fuzzy set of each value of the feature quantity is defined. Next, based on the values of the characteristic quantities actually obtained for the banknote to be differentiated and the relationship between each function, for example, each diagram shown, the denomination to which the banknote to be verified belongs is determined, and the degree to which it can be said that it belongs to this denomination is determined. is required.
本発明に係る紙幣鑑別方法を適用した紙幣鑑別装置につ
いて、以下に図面を参照しながら説明する。
第１図はこの紙幣鑑別装置の構成を共通的に示すブロッ
ク図で、同図において、１は測定・演算部で、図示して
ない透光形の光センサ列によって、被鑑別紙幣の各箇所
の透光量を測定し、この透光量に基づいて、紙幣の特徴
量である長手方向寸法、または各箇所に係る透光量の度
数分布のバラツキ傾向を示す標準偏差を演算して求める
。
２は関数発生部で、金種別基準紙幣の特徴量に係るメン
バーシップ関数を発生する機能をもつ。
ここで、メンバーシップ関数とは、特＋ｈｉｔがとり得
るある値のときに、ある金種に属すると言える度合のこ
とである。したがって、関数発生部２は、特＠量に関す
るメンパージ・ンブ関数、つまり度合を特徴量との対応
において規定する。この度合は当然ながら、０〜１の範
囲の値で示され、０のときには全く属するとは言えず、
１のときには間違いなく属すると言えるわけである。実
際には、関数発生部２は、金種別基準紙幣の特徴量の各
値と、それに対するメンバーシップ関数値との対応関係
を与えることになる。
３は判定部で、測定・演算部１の出力と、関数発生部２
の出力とから、被鑑別紙幣がどの金種の紙幣に属するか
、またその属すると言える度合はとの位かを求める。
第２図は搬送紙幣と光センサ配列の平面図で、同図にお
いて、光センサＰＩ、 Ｐ２． Ｐ３．・・・ Ｐｎは
、その列が紙幣Ｂｉの短辺に平行な搬送方向と直交し、
かつ紙幣ＢｉＯ長手方向の寸法より若干広い範囲をとる
ように配列される。なお、紙幣Ｂｉは、ｉ＝１．２．３
で、それぞれ千円紙幣、五千円紙幣、−万円紙幣を表す
。
第２図において、紙幣Ｂｉの各）陸送位置に応じて、表
面の各箇所での透光量が、光センサＰ１゜Ｐ２．Ｐ３．
・・・、Ｐｎによって測定される。紙幣の特徴量の一つ
である長手方向寸法は、所定値以上の透光量に対応する
箇所、言いかえれば、紙幣によって遮蔽されない箇所に
よって求められる。また、別の特徴量である透光量の度
数分布の標準偏差について次に述べる。
第３図は被鑑別紙幣全面の各箇所に係る透光量の度数分
布図（ヒストグラム）で、同図において、横軸に透光量
Ｈが、縦軸に度数Ｎがとられる。−般に、度数分布の傾
向は、その中心的位置に係るものと、バラツキ（変動）
に係るものとになる。
前者は平均値、中央値、最多値などで表され、後者は標
準偏差５分散、範囲などの各値で表される。
第３図において、Ｍｉは度数分布の平均値、Ｓｉは同じ
くその標準偏差値である。この実施例では、別の特徴量
として標準偏差が選ばれる。
第４図は一特微量である長手方向寸法に係るメンバシッ
プ関数、第５図は別の特徴量である、透光量の度数分布
の標準偏差に係るメンバシップ関数である。
第４図において、横軸に基準紙幣のとり得る長手方向寸
法値し、つまりＬ値の「あいまい集合」を、縦軸にメン
バーシップ関数値ＭＦをとる。このとき各基準紙幣ＢＬ
Ｂ２．Ｂ３に関するメンバーシップ関数は、三角山形Ｕ
ｌ、０２．Ｕ３で表される。
いま、三角山形Ｕ１を例にとって説明すると、その頂点
に対応するしはＬｌｍであり、基１ｉ１Ｅ幣Ｂ１の長手
方向寸法の基準値を表す。そして、底辺の左端、右端の
各長平方向寸法りを、ＬＩＬ Ｌ１２とすると、基準
紙幣Ｂ１の長手方向寸法はＬｌｌ〜Ｌ１２の範囲の値を
とり得ることを表し、Ｌｌｍのとき紙幣Ｂ１に属すると
言える度合が最大値１をとり、ＬｌｌまたはＬ１２のと
き同じくその度合は最小値０をとる。その他の三角山形
Ｕ２，０３についても同様のことが言える。
第４図において、横軸に基準紙幣のとり得る標準偏差値
Ｓ、つまりＳ値の「あいまい集合」を、縦軸にメンバー
シップ関数値ＭＦをとる。各基準紙幣ＢＬＢ２．Ｂ３に
関するメンバーシップ関数は、三角山形Ｖｌ、Ｖ２．Ｖ
３で表される。いま、三角山形■１を例にとって説明す
ると、その頂点に対応するＳはＳ１ｎ＋であり、基準紙
幣Ｂｌの標準偏差の基準値を表す。そして、底辺の左端
、右端の各標準偏差値Ｓを、Ｓｌｌ、 Ｓ１２とする
と、基準紙幣Ｂ１の標準偏差値はＳＬ１〜３１２の範囲
の値をとり得ることを表し、Ｓ１ｍのとき紙幣Ｂ１に属
すると言える度合が最大値１をとり、ＳｌｌまたはＳ１
２のとき同じくその度合は最小値０をとる。その他の三
角山形Ｖ２．Ｖ３についても同様のことが言える。
再び第１図に戻り、この紙幣迄別装置の作用について述
べる。測定・演算部１では、各光センサによって測定さ
れた、被鑑別紙幣の各箇所での透光量データが収集され
、これに基づいて長手方向寸法値Ｌｋ、または度数分布
の標準偏差値Ｓｋが求められる。
判定部３では、測定・演算部ｌの出力である先程のＬｋ
またはＳｋと、関数発生部２の出力である、第４図また
は第５図に示したような、長手方向寸法に係るメンバー
シップ関数値、または標準偏差に係るメンバーシップ関
数値とから、被鑑別紙幣がどの金種に、どの位の度合で
属すると言えるかを求める。
第４図において、Ｌｋに対応する各メンバーシップ関数
値から、被鑑別紙幣が紙幣Ｂ１には度合Ｘ１で、紙幣Ｂ
２には度合Ｘ２で、それぞれ属すると判定される。ここ
で、Ｘ２＞ＸＩ である。
同様に、第５図において、Ｓにに対応する各メンバーシ
ップ関数値から、被鑑別紙幣が紙幣Ｂ１には度合Ｙ１で
、紙幣Ｂ２には度合Ｙ２で、それぞれ属すると判定され
る。ここで、Ｙ２ ＞Ｙｌ である。
以上の紙幣迄別装置において、特徴量は、紙幣の長手方
向寸法と、紙幣の各箇所の透光量の度数分布の標準偏差
値とであった。しかし、その他の特徴量として、透光量
の度数分布の平均値、最多値、または分散値でもよく、
また紙幣の各箇所の磁性強度に係る度数分布の標準偏差
値１分散値。
平均値、または最多値であってもよい。また、各特徴量
について単独でなく、複数個を組合せて各金種に属する
度合を求めるようにすれば、当然ながら鑑別確度を向上
させることができる。A banknote validating device to which the banknote validating method according to the present invention is applied will be described below with reference to the drawings. FIG. 1 is a block diagram commonly showing the configuration of this banknote discrimination device. In the figure, 1 is a measurement/calculation unit, and a translucent type optical sensor array (not shown) is used to detect various points on the banknote to be discriminated. The amount of transmitted light is measured, and based on this amount of transmitted light, the longitudinal dimension, which is a characteristic amount of the banknote, or the standard deviation, which indicates the tendency of variation in the frequency distribution of the amount of transmitted light at each location, is calculated and determined. Reference numeral 2 denotes a function generating unit, which has a function of generating membership functions related to the feature quantities of standard banknotes by denomination. Here, the membership function is the degree to which it can be said to belong to a certain denomination when the value of hit+hit is a certain value. Therefore, the function generation unit 2 defines the member function regarding the special @ quantity, that is, the degree, in correspondence with the feature quantity. Naturally, this degree is indicated by a value in the range of 0 to 1, and when it is 0, it cannot be said that it belongs at all,
If it is 1, it can definitely be said that it belongs. In reality, the function generation unit 2 provides the correspondence between each value of the feature amount of the denomination-specific standard banknote and the corresponding membership function value. Reference numeral 3 denotes a determination section, which outputs the output of the measurement/calculation section 1 and the function generation section 2.
From the output of , it is determined to which denomination of banknote the banknote to be verified belongs and to what degree it can be said that it belongs. FIG. 2 is a plan view of the transported banknotes and the optical sensor array, and in the figure, optical sensors PI, P2. P3. ...Pn is such that the row is perpendicular to the conveyance direction parallel to the short side of the banknote Bi,
And they are arranged so as to have a slightly wider range than the longitudinal dimension of the banknote BiO. Note that the banknote Bi is i=1.2.3
, representing 1,000 yen banknotes, 5,000 yen banknotes, and -10,000 yen banknotes, respectively. In FIG. 2, the amount of light transmitted at each location on the surface of the banknote Bi varies depending on the land transport position of the banknote Bi. P3.
..., measured by Pn. The longitudinal dimension, which is one of the characteristic quantities of a banknote, is determined by a portion corresponding to an amount of transmitted light greater than a predetermined value, in other words, a portion that is not blocked by the banknote. Further, the standard deviation of the frequency distribution of the amount of transmitted light, which is another feature amount, will be described next. FIG. 3 is a frequency distribution diagram (histogram) of the amount of light transmitted at each location on the entire surface of the banknote to be verified, in which the amount of light transmitted H is plotted on the horizontal axis and the frequency N is plotted on the vertical axis. - In general, the trends in the frequency distribution are related to its central position and variations (fluctuations).
It will be related to. The former is expressed by the average value, median value, maximum value, etc., and the latter is expressed by each value such as standard deviation, 5 variance, and range. In FIG. 3, Mi is the average value of the frequency distribution, and Si is the standard deviation thereof. In this example, standard deviation is chosen as another feature. FIG. 4 shows a membership function relating to the longitudinal dimension, which is one characteristic quantity, and FIG. 5 shows a membership function relating to the standard deviation of the frequency distribution of the amount of transmitted light, which is another characteristic quantity. In FIG. 4, the horizontal axis represents the possible longitudinal dimension values of the reference banknote, that is, the "fuzzy set" of L values, and the vertical axis represents the membership function value MF. At this time, each standard banknote BL
B2. The membership function for B3 is triangular Yamagata U
l, 02. It is represented by U3. Taking the triangular chevron U1 as an example, Llm corresponds to its apex and represents the reference value of the longitudinal dimension of the base B1. If the longitudinal dimensions of the left end and right end of the base are LIL L12, it means that the longitudinal dimension of the standard banknote B1 can take a value in the range of Lll to L12, and when Llm, it belongs to the banknote B1. The degree to which it can be said takes a maximum value of 1, and in the case of Lll or L12, the degree also takes a minimum value of 0. The same can be said of the other triangular chevrons U2 and 03. In FIG. 4, the horizontal axis represents the standard deviation value S that the standard banknote can take, that is, the "fuzzy set" of S values, and the vertical axis represents the membership function value MF. Each standard banknote BLB2. The membership functions for B3 are triangular chevron Vl, V2. V
It is represented by 3. Now, taking the triangular chevron ■1 as an example, S corresponding to its apex is S1n+, which represents the reference value of the standard deviation of the reference banknote Bl. If the standard deviation values S at the left end and right end of the base are Sll and S12, it means that the standard deviation value of the standard banknote B1 can take a value in the range of SL1 to 312, and when S1m, it belongs to the banknote B1. The degree to which it can be said takes the maximum value 1, Sll or S1
2, the degree also takes the minimum value 0. Other triangular mountain shapes V2. The same can be said about V3. Returning to FIG. 1 again, the operation of this bill separating device will be described. The measurement/calculation unit 1 collects the amount of light transmitted at each location of the banknote to be discriminated, which is measured by each optical sensor, and based on this, the longitudinal dimension value Lk or the standard deviation value Sk of the frequency distribution is calculated. Desired. In the determination section 3, the aforementioned Lk which is the output of the measurement/calculation section l
Or Sk and the membership function value related to the longitudinal dimension or the membership function value related to the standard deviation, as shown in FIG. 4 or FIG. 5, which is the output of the function generator 2. Find out to what denomination and to what degree a banknote belongs. In FIG. 4, from each membership function value corresponding to Lk, the banknote to be discriminated is the banknote B1 at a degree X1, and the banknote B1 is
2, it is determined that each of them belongs to the degree X2. Here, X2>XI. Similarly, in FIG. 5, from each membership function value corresponding to S, it is determined that the banknote to be discriminated belongs to banknote B1 to a degree Y1 and to banknote B2 to a degree Y2. Here, Y2 > Yl. In the above-mentioned banknote sorting apparatus, the feature amounts are the longitudinal dimension of the banknote and the standard deviation value of the frequency distribution of the amount of light transmitted at each location of the banknote. However, other features may be the average value, maximum value, or variance value of the frequency distribution of the amount of transmitted light.
Also, the standard deviation value 1 variance value of the frequency distribution related to the magnetic strength of each part of the banknote. It may be an average value or a maximum value. Further, by determining the degree to which each feature belongs to each denomination by combining a plurality of features instead of using each feature individually, the discrimination accuracy can naturally be improved.
鑑別の手掛りとなる紙幣の特徴量、たとえば紙幣の長手
方向寸法、または紙幣の各箇所に係る透光量の度数分布
の傾向が、多くの要因によって複雑、微妙に変動する、
つまり「あいまい」な値をとるにもかかわらず、この発
明によれば、正確で実際的な紙幣鑑別ができる、という
すぐれた効果がある。The characteristics of banknotes that serve as clues for identification, such as the longitudinal dimension of banknotes or the frequency distribution of the amount of light transmitted at each location on banknotes, vary complexly and subtly due to many factors.
In other words, the present invention has the excellent effect of allowing accurate and practical banknote identification despite the fact that it takes an "ambiguous" value.
第１図は本発明に係る紙幣鑑別方法を適用した装置の構
成を共通的に示すブロック図、第２図は搬送紙幣と光セ
ンサ配列の平面図、第３図は紙幣各箇所に係る透光量の
度数分布図、第４図は長手方向寸法に係るメンバシップ
関数、第５図は透光量の度数分布の標準偏差に係るメン
バシップ関数である。
符号説明
Ｂｉ ：紙幣（ｉ＝１．２．３）、
ＰＩ、 Ｐ２． Ｐ３．−、 Ｐｎ ：光センサ、
ｌ：測定・演算部、２：関数発生部、
第２図
晃′：３目
恥１０
第４η
第５図Fig. 1 is a block diagram commonly showing the configuration of an apparatus to which the banknote discrimination method according to the present invention is applied, Fig. 2 is a plan view of the conveyed banknotes and the optical sensor array, and Fig. 3 is a transparent view of each part of the banknotes. FIG. 4 is a membership function related to the longitudinal dimension, and FIG. 5 is a membership function related to the standard deviation of the frequency distribution of the amount of transmitted light. Code explanation Bi: Banknote (i=1.2.3), PI, P2. P3. -, Pn: optical sensor,
l: Measurement/calculation section, 2: Function generation section, Fig. 2 Akira': 3rd eye 10 4th eta Fig. 5
Claims (1)
種に属すると言える度合との関数関係を求める工程と；
被鑑別紙幣について実際に得られた前記特徴量の値と、
前記各関数関係とに基づいて、前記被鑑別紙幣が属すべ
き金種と、この金種に属すると言える度合とを求める工
程と；を備えることを特徴とする紙幣鑑別方法。 ２）特許請求の範囲第１項記載の方法において、各関数
関係は、特徴量のとり得る値を横軸に紙幣が各金種に属
すると言える度合を縦軸にそれぞれとったとき、三角山
形の線図で表されることを特徴とする紙幣鑑別方法。 ３）特許請求の範囲第１項または第２項記載の方法にお
いて、特徴量は、紙幣の長手方向寸法であることを特徴
とする紙幣鑑別方法。 ４）特許請求の範囲第１項または第２項記載の方法にお
いて、特徴量は、紙幣の各箇所に係る透光量の度数分布
の傾向であることを特徴とする紙幣鑑別方法。[Claims] 1) A step of determining a functional relationship between the possible values of the characteristic amount of a banknote and the degree to which the banknote can be said to belong to each denomination;
the value of the feature amount actually obtained for the banknote to be verified;
A banknote discrimination method comprising: determining a denomination to which the banknote to be validated belongs and a degree to which it can be said to belong to this denomination based on each of the functional relationships. 2) In the method described in claim 1, each functional relationship has a triangular chevron shape when the horizontal axis represents the possible value of the feature amount and the vertical axis represents the degree to which the banknote belongs to each denomination. A banknote identification method characterized by being represented by a line diagram. 3) A banknote discrimination method according to claim 1 or 2, wherein the feature amount is a longitudinal dimension of the banknote. 4) A banknote discrimination method according to claim 1 or 2, wherein the feature amount is a tendency of the frequency distribution of the amount of light transmitted at each location on the banknote.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP63303616A JPH02148383A (en) | 1988-11-30 | 1988-11-30 | Method of discriminating paper money |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP63303616A JPH02148383A (en) | 1988-11-30 | 1988-11-30 | Method of discriminating paper money |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPH02148383A true JPH02148383A (en) | 1990-06-07 |
Family
ID=17923132
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP63303616A Pending JPH02148383A (en) | 1988-11-30 | 1988-11-30 | Method of discriminating paper money |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH02148383A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0314088A (en) * | 1989-06-12 | 1991-01-22 | Omron Corp | Money recognition device |
| US5437357A (en) * | 1992-12-25 | 1995-08-01 | Nippon Conlux Co., Ltd. | Bill identification apparatus |
| US6091844A (en) * | 1993-10-14 | 2000-07-18 | Omron Corporation | Image processing device and method for identifying an input image and copier including same |
| US6393140B1 (en) | 1997-04-16 | 2002-05-21 | Nippon Conlux Co., Ltd. | Paper-like piece identifying method and device |
| US20150279140A1 (en) * | 2014-03-25 | 2015-10-01 | Ncr Corporation | Media item validation |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS61105690A (en) * | 1984-10-29 | 1986-05-23 | 富士通株式会社 | Automatic feature extractor for sheet paper and automatic feature extraction |
-
1988
- 1988-11-30 JP JP63303616A patent/JPH02148383A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS61105690A (en) * | 1984-10-29 | 1986-05-23 | 富士通株式会社 | Automatic feature extractor for sheet paper and automatic feature extraction |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0314088A (en) * | 1989-06-12 | 1991-01-22 | Omron Corp | Money recognition device |
| US5437357A (en) * | 1992-12-25 | 1995-08-01 | Nippon Conlux Co., Ltd. | Bill identification apparatus |
| US6091844A (en) * | 1993-10-14 | 2000-07-18 | Omron Corporation | Image processing device and method for identifying an input image and copier including same |
| US6393140B1 (en) | 1997-04-16 | 2002-05-21 | Nippon Conlux Co., Ltd. | Paper-like piece identifying method and device |
| US20150279140A1 (en) * | 2014-03-25 | 2015-10-01 | Ncr Corporation | Media item validation |
| US9336638B2 (en) * | 2014-03-25 | 2016-05-10 | Ncr Corporation | Media item validation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US6899215B2 (en) | Currency validator | |
| KR920704243A (en) | Method and apparatus for accepting coins, bills and other currencies and rejecting fake coins or counterfeit bills | |
| JPS59182303A (en) | Method of optically measuring size of discoid body | |
| JPH0427595B2 (en) | ||
| WO1997027566A1 (en) | Judging method of sheets, notes, etc. for forgery, and judging method of insertion direction of them | |
| US6393140B1 (en) | Paper-like piece identifying method and device | |
| CN107507330A (en) | Detection method, detection means and the terminal device of banknote thickness abnormity | |
| ITMI930332A1 (en) | MEANS OF CONTROL OF THE SALE OPERATION, IN AN AUTOMATIC DISTRIBUTOR WITH COIN TUBES FOR THE REST | |
| JPH02148383A (en) | Method of discriminating paper money | |
| US6868173B1 (en) | Method for confirming authenticity of sheet | |
| JPH02148382A (en) | Paper money discriminating device | |
| JPS62242291A (en) | Identification of sheet paper | |
| CN105139516A (en) | Paper broken degree identification structure and bill transaction device | |
| KR101590635B1 (en) | Apparatus for sensing overlap of media and method thereof | |
| CN106971450A (en) | The discrimination method and device of banknote thickness abnormity | |
| CN207268876U (en) | Recognizable denomination and the paper money counter for differentiating counterfeit money | |
| KR100194748B1 (en) | Banknotes Identification Device | |
| JP3151034B2 (en) | Bill validator | |
| KR100361328B1 (en) | Paper sheet discriminating device | |
| JP3614603B2 (en) | Banknote depositing and dispensing machine and bill processing method thereof | |
| JPS61122510A (en) | Detecting device for tilt angle of paper or the like | |
| JPH02150982A (en) | Paper money discriminating device | |
| JP2894375B2 (en) | Pattern determination method | |
| JP2008135067A (en) | Leaf-like article identification method and device thereof | |
| JPH02150983A (en) | Paper money discriminating device |