CA2156999C - Method and apparatus for currency discrimination and counting - Google Patents

Method and apparatus for currency discrimination and counting

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Publication number
CA2156999C
CA2156999C CA002156999A CA2156999A CA2156999C CA 2156999 C CA2156999 C CA 2156999C CA 002156999 A CA002156999 A CA 002156999A CA 2156999 A CA2156999 A CA 2156999A CA 2156999 C CA2156999 C CA 2156999C
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CA
Canada
Prior art keywords
bill
currency
scanned
patterns
master
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.)
Expired - Lifetime
Application number
CA002156999A
Other languages
French (fr)
Inventor
Donald E. Raterman
Bradford T. Graves
Lars R. Stromme
Aaron M. Bauch
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.)
Cummins Allison Corp
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Cummins Allison Corp
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Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/06Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency using wave or particle radiation
    • G07D7/12Visible light, infrared or ultraviolet radiation
    • G07D7/128Viewing devices
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D11/00Devices accepting coins; Devices accepting, dispensing, sorting or counting valuable papers
    • G07D11/50Sorting or counting valuable papers
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/06Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency using wave or particle radiation
    • G07D7/12Visible light, infrared or ultraviolet radiation
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/06Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency using wave or particle radiation
    • G07D7/12Visible light, infrared or ultraviolet radiation
    • G07D7/1205Testing spectral properties
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/16Testing the dimensions
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/16Testing the dimensions
    • G07D7/162Length or width
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/20Testing patterns thereon
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07FCOIN-FREED OR LIKE APPARATUS
    • G07F19/00Complete banking systems; Coded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
    • G07F19/20Automatic teller machines [ATMs]

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Toxicology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Inspection Of Paper Currency And Valuable Securities (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

An improved method and apparatus for discriminating between currency bills (17) of different denominations uses an optical sensing (18) and correlation technique based on the sensing of bill reflectance characteristics obtained by illuminating (22) and scanning a bill along its narrow dimension. A series of detected reflectance signals are obtained by sampling and digitally processing (30), under microprocessor control, the reflected light at a plurality of predefined sample points as a currency bill is moved across an illuminated strip (24) with its narrow dimension parallel to the direction of transport of the bill. The sample data is subjected to digital processing, including a normalizing process, whereby the reflectance data represents a characteristic pattern that is unique for a given bill denomination and incorporates sufficient distinguishing features between characteristic patterns for discriminating between different currency denominations.

Description

2ls6~9~

This is a divisional application of copending application 2,050,588, filed October 1, 1991.
R~ ~4ROIJND OF T}~B IN~BNTION
Field of the Invention The present invention relates, in general, to currency identification. The invention relates more particularly to a method and apparatus for automatic discrimination and counting of currency bills of different denominations using light reflectivity characteristics of indicia printed ~pon the currency bills.

Description of the Related Art A variety of techniques and apparatus have been used to satisfy the requirements of automated currency handling systems. At the lower end of sophistication in this area of technology are systems capable of handling only a specific type of currency, such as a specific dollar denomination, while rejecting all other currency types. At the upper end are complex systems which are capable of identifying and discriminating between and automatically counting multiple currency denominations.
Currency discrimination systems typically employ either magnetic sensing or optical sensing for discriminating between different currency denominations. Magnetic sensing is based on detecting the presence or absence of magnetic ink in portions of the printed indicia on the currency by using magnetic sensors, usually ferrite core-based sensors, and using the detected magnetic signals, after undergoing analog or digital processing, as the basis for currency discrimination. The more commonly used optical sensing technique, on the other hand, is based on detecting and 1~ . 21~6999 analyzing ~ariations in light reflectance or transmissivity characteristics o~ ing when a currency bill is illuminated and scanned by a strip of focused light. The subsequent currency discrimination is based on the comparison of sensed optical characteristics with prestored parameters for different currency denominations, while accounting for adequate tolerances reflecting differences among individual bills of a given denomination.
A major obstacle in implementing automated cur-rency discrimination systems is obt~i n i~g an optimum compromise between the criteria used to adequately define the characteristic pattern for a particular currency denomination, the time required to analyze test data and compare it to predefined parameters in order to identify the currency bill under scrutiny, and the rate at which successive currency bills may be mech~nically fed through and c~n~ed. Even with the use of microprocessors for processing the test data resulting from the sc~ning of a 2~ bill, a finite amount of time is required for acquiring samples and for the process of comparing the test data to stored parameters to identify the denomination of the bill. Most of the optical ~nni ng systems available today utilize complex algorithms for obt~ining a large number of reflectance data samples as a currency bill is sc~n~ by an optical cc~nhead and for subsequently comparing the data to corresponding stored parameters to identify the bill denomination. Conventional systems require a relatively large number of optical samples per bill scan in order to sufficiently discriminate between currency denominations, particularly those denominations for which the reflectance patterns are not markedly disting~ h~hle. The use of the large number o~ data samples slows down the rate at which incoming bills may be scanned and, more importantly, requires a correspondingly longer period of time to process the data in accordance with the discrimination algorithm. The 21S6~99 processing time is further increased if the system is also adapted to cQunting of identified currency denominations. The speed at which bills can be classified and counted is thereby restricted since real S time processing reguires that the analysis of Cc~nn~
data for a bill be completed and the bill be identified and counted as belonging to a particular currency denomination before the subsequent bill gets positioned across and is cç~nned by the ~cAnh~
A major problem associated with conventional systems is that, in order to obtain the required large number of reflectance samples required for accurate ~uLL~llCy discrimination, such systems are restricted to cc~nning bills along the longer dimension of currency bills.
Lengthwise SC?nn; ng, in turn, has several inherent drawbacks including the need for an extended transport path for relaying the bill lengthwise across the scanhead and the added mechanical complexity involved in accommodating the extended path as well as the associated means for ensuring uniform, non-overlapping registration of bills with the sensing surface of the scanhead.
The end result is that systems capable of accurate currency discrimination are costly, me~h~nically bulky and complex, and generally incapable of both currency discrimination and counting at high speeds with a high degree of accuracy.

8VMMARY OF THE lNv~ ON
It is a principal object of the present invention to provide an improved method and apparatus for identifying and counting currency bills comprising a plurality of currency denominations.
It is another object of this invention to provide an improved method and apparatus of the above kind which is capable of efficientiy discriminating between and counting bills of several currency denominations at a high speed and with a high degree of accuracy.

2ls~693~

-A related object of the present invention is to provide such an improved currency discrimination and counting apparatus which is compact, economical, and has uncomplicated construction and operation.
Briefly, in accordance with the present invention, the objectives enumerated above are achieved by means of an improved optical sensing and correlation te~nique adopted to both counting and denomination discrimination of currency bills. The ~e~h~ique is based on the optical sensing of bill reflectance characteristics obtained by illuminating a~d Cc~nnin~ a bill along its narrow dimension, approximately about the central section of the bill. Light reflected from the bill as it is optically cc~nned is detected and used as an analog representation of the variation in the "black" and "white" content of the printed pattern or indicia on the bill surface.
A series of such detected reflectance signals are obt~in~ by sampling and digitally ~ essing, under microprocessor ~onL.ol, the reflected light at a plurality of predefined sample points as the bill is moved across the illuminated strip with its narrow dimension parallel to the direction of transport of the bill. Accordingly, a fixed number of reflectance samples is obtained across the narrow dimension of the note. The data samples obtAi~e~ for a bill scan are subjected to digital ~lo~e~sing, including a normalizing ~LG~ess to deaccentuate variations due to "contrast" fluctuations in the printed pattern or indicia existing on the surface of the bill being scanned. The normalized reflectance data represent a characteristic pattern that is fairly unique for a given bill denomination and incorporates sufficient distinglli~hing features between characteristic patterns for different currency denominations so as to accurately differentiate therebetween.
By using the above approach, a series of master characteristic patterns are generated and stored using "original" or "new" bills for each denomination of 21~999 currency that is to be detected. According to a preferred embodiment, four characteristic patterns are generated and stored within system memory for each detectable-currency denomination. The stored patterns correspond, respectively, to optical scans performed on the "top" and "bottom" surfaces of a bill along "forward"
and "reverse" directions relative to the pattern printed on the bill. Preferably, the currency discrimination and counting method and apparatus of this invention is - 10 adapted to identify seven (7) different denominations of U.S. currency, i.e., $1, S2, $5, Slo, S20, S50 and Sloo.
Accordingly, a master set of 28 different characteristic patterns is stored within the system memory for s-lhC~quent correlation purposes.
According to the correlation t~chnique of this invention, the pattern generated by scAnni~g a bill under test and processing the sampled data is compared with each of the 28 prestored characteristic patterns to generate, for each comparison, a correlation num~er representing the extent of similarity between corresponding ones of the plurality of data samples for the compared patterns. Denomination identification is based on designating the sc~nn~ bill as belonging to the denomination coLle~ol.ding to the stored characteristic pattern for which the correlation number resulting from pattern comparison is determined to be the highest. The possibility of a scanned bill having its denomination mis~h~racterized following the comparison of characteristic patterns, is significantly reduced by defining a bi-level threshold of correlation that must be satisfied for a "positive" call to be made.
In essence, the present invention provides an improved optical sensing and correlation technique for positively identifying any of a plurality of different bill denominations regardless of whether the bill is scanned on its "top" or "bottom" face along either the "forward" or "reverse" directions. The invention is particularly adapted to be implemented with a sys~em programmed to track each identified currency denomination so as to conveniently present the ay~ ate total of bills that have been identified at the end of a scan run.
S Also in accordance with this invention, currency detecting and counting apparatus is disclosed which is particularly adapted for use with the novel sensing and correlation ~e~hnique summarized above. The apparatus inc~l~o~Les an abbL~iated curved tr~ o-L path for ~r~e~ting ~ e~y bills that are to be counted and tra~o~ing the bills about their narrow dimension across a ~c~nhead located downstream of the curved path and onto a conventional stacking station where sensed and counted bills are collected. The scanhead operates in lS conjunction with an optical encoder which is adapted to - `
initiate the capture of a predefined number of reflectance data samples when a bill (and, thus, the indicia or pattern printed thereupon) moves across a coherent strip of light fo~-c~ downwardly of the cc~nhead-The scanhead uses an array of photo diodes to focusa coherent light strip of predefined dimensions and having a normalized distribution of light intensity across the illuminated area. The photo diodes are angularly ~icpoCD~ and focus the desired strip of light onto the narrow dimension of a bill positioned flat across the sc~nning surface of the scanhead. A photo detector positioned above the illuminated strip detects light reflected upwardly from the bill. The photo detector is ~o~ olled by the optical encoder to obtain the desired reflectance samples.
Initiation of sampling is based upon the detection of the change in reflectance value that occurs when the outer border of the printed pattern on a bill is encountered relative to the reflectance value obtained at the edge of the bill where no printed pattern exists.
According to a feature of this invention, illuminated -21~699~
, ~

strips of at least two different dimensions are used for the sC~n~ i ~g process. A narrow strip is used initially to detect the starting point of the printed pattern on a bill and is adapted to distinguish the thin borderline that typically marks the starting point of and encloses the printed pattern on a bill. For the rest of the narrow dimension sc~nning following detection of the border line of the printed pattern, a substantially wider strip of light is used to collect the predefined number of samples for a bill~scan. The qeneration and storage of characteristic patterns using "original" notes and the ~hCA~uent comparison and correlation procedure for classifying the scanned bill as belonging to one of several predefined currency denominations is based on the above-described sensing and correlation technique.

Brief Description Of The Drawings Other objects and advantages of the invention will become apparent upon re~ g the following detailed description in conjunction with the drawings in which:
FIG. 1 is a functional block diagram illustrating the conceptual basis for the optical sensing and - correlation method and apparatus, according to the system of this invention;
FIG. 2 is a block diagram illustrating a preferred circuit arrangement for processing and correlating reflectance data according to the optical sensing and counting ~P~hnique of- this invention;
FIGS. 3-8 are flow charts illustrating the sequence of operations involved in implementing the optical sensing and correlation ~chn; que;
FIGS. 9A-C are graphical illustrations of representative characteristic patterns generated by narrow dimension optical scanning of a currency bill;
FIGS. 10A-E are graphical illustrations of the effect produced on correlation pattern by using the 21~6~9g progressive shifting terhn;que, according to an embodiment of this invention;
- FIG. 11 is a perspective view showing currency discrimination and counting apparatus particularly adapted to and embodying the optical sensing and correlation ~chnique of this invention;
FIG. 12 is a partial perspective view illustrating the mech~nifim used for separating currency bills and injecting them in a sequential fashion into the transport path;
FIG. 13 is a side view of the apparatus of FIG. 11 illustrating the separation mech~n;sm and the transport path;
FIG. 14 is a side view of the apparatus of FIG. 11 illustrating details of the drive mech~n;sm;
FIG. 15 is a top view of the currency discriminating and counting apparatus shown in FIGS. 11-14;
FIG. 16 is a sectional side view showing the angular disposition of the photo diodes within the scanhead;
FIG. 17 is an illustration of the light distribution produced about the optical scanhead; and FIG. 18 is a top view illustration of the optical mask used to generate the scan strips of different dimensions.
While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof have been shown by way of example in the drawings and will herein be described in detail. ~t should be understood, however, that it is not intended to limit the invention to the particular forms disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention as defined by the appended claims.

DESCRIPTION OF T~E PREFERRED EMBODIMENTS

" .
g Referring now to FIG. 1, there is shown a functional block diagram illustrating the optical sensing and correlation system according to this invention. The system 10 includes a bill accepting station 12 where stacks of currency bills that need to be identified and counted are positioned. Acc~rted bills are acted upon by a bill separating station 14 which functions to pick out or separate one bill at a time for h~ seguentially relayed by a bill tr~n~rort me~h~nism 16, according to a precir^ly predetermined tralla~o,- path, across an optical cc~nh~ 18 where the ~ ~n~y denomination of the bill is Cc~n~e~ ~ identified and counted. The ~c~nned bill is then transported to a bill stacking station 20 where bills so proc~cse~ are stacked for subsequent removal.
The optical scAnhe~ 18 comprises at least one light source 22 directing a beam of coherent light downwardly onto the bill transport path so as to illuminate a substantially rectangular light strip 24 upon a currency bill 1~7 positioned on the transport path below the scanh_ad 18. Light reflected off the illuminated strip 24 is sensed by a photodetector 26 positioned directly above the strip. The analog o~L~uL of photodetector 26 is converted into a digital signal by means of an analog-to-digital (ADC) convertor unit 28 whose o~L~uL is-fed as a digital input to a central processing unit (CPU) 30.
~ cQrding to a feature of this invention, the bill transport path is defined in such a way that the transport mer-h~nism 16 moves currency bills with the narrow dimension "W" of the bills being parallel to the transport path and the scan direction. Thus, as a bill 17 moves on the transport path on the scanhead 18, the coherent light strip 24 effectively scans the bill across the narrow dimension "W" of the bill. Preferably, the transport path is so arranged that a currency bill 17 is scanned approximately about the central section of the bill along its narrow dimension, as best shown in FIG. 1.
The scanhead 18 functions to detect light reflected 215~99~ .

from the bill as it moves across the illuminated light strip 24 and to provide an analog representation of the variation in light so reflected which, in turn, ~e~le3ents the variation in the ~black" and "white"
content of the printed pattern or indicia on the surface of the ~ill. This variation in light reflected from the narrow dimension sc~nn;ng of the bills serves as a measure for distin~ishi~ with a high degree of confidence, among a plurality of currency denominations which the system of this invention is ~ mmed to h~n~l e.
A series of such detected reflectance signals are obtained across the narrow dimension of the bill, or across a selected segment thereof, and the resulting analog signals are digitized under control of the CPU 30 to yield a fixed number of digital reflectance data samples. The data samples are then subjected to a - digitizing process which includes a normalizing routine for processing the sampled data for improved correlation and for smoothing out variations due to "contrast"
fluctuations in the printed pattern existing on the ~ill surface. The normalized reflectance data so digitized ~-- represents a characteristic pattern that is fairly unique for a given bill denomination and provides sufficient distin~-i~hing features between characteristic patterns for different currency denominations, as will be explained in detail below.
In order to ensure strict co~le~ondence between reflectance samples obtained by narrow dimension scanning of successive bills, the initiation of the reflectance sampling process is preferably controlled through the CPU
30 by means of an optical encoder 32 which is linked to the bill transport mechanism 16 and precisely tracks the physical movement of the bill 17 across the scanhead 18.
More specifically, the optical encoder 32 is linked to the rotary motion of the drive motor which generates the movement imparted to the bill as i~ is relayed along the 21~699~
7- ~ .

transport path. In addition, it is ensured that positive contact is maint~in~ between the bill and the transport path, particularly when the bill is being sc~n~e~ by the sc~n~eAd 18. Under these conditions, the optical encoder is capable of precisely tracking the movement of the bill relative to the light strip generated by the scanhead by monitoring the rotary motion of the drive motor.
The ~ L of photodetector 26 is monitored by the CPU 30 to initially detect the presence of the bill ~A~rn~th the ~^~nh^-~ and, ~lhc~ tly, to detect the starting point of the printed pattern on the bill,~as represented by the thin borderline 17A which typically encloses the printed indicia on currency bills. Once the borderline 17A has been detected, the optical encoder is lS used to control the timing and number of reflectance samples that are obtained from the output of the photodetector 26 as the bill 17 moves across the scanhead 18 and is C~n~e~ along its narrow dimension.
The detection of the borderline constitutes an important step and realizes improved discrimination efficiency since the borderline serves as an absolute reference point for initiation of sampling. If the edge of a bill were to be used as a reference point, relative displacement of sampling points can occur because-of the random manner in which the distance from the edge to the borderline varies from bill to bill due to the relatively large range of tolerances permitted during printing and cutting-of currency bills. As a result, it becomes difficult to establish direct correspondence between sample points in successive bill scans and the discrimination efficiency is adversely affected.
The use of the optical encoder for controlling the sampling process relative to the physical movement of a bill across the sc~nhe~ is also advantageous in that the encoder can be used to provide a predetermined delay following detection of the borderline prior to initiation of samples. The encoder delay can be adjusted in such a 2I~G999 way that the bill is scanned only across those segments along its narrow dimension which contain the most distin~lich~hle printed indicia relative to the different ~u~ .cy denominations.
In the case of U.S. currency, for instance, it has been determined that the central, approximately two-inch portion of currency bills, as ~C~nneA across the central section of the narrow dimension of the bill, provides sufficient data for disting~ hing between the various U.S. ~ ency denominations on the basis of the correlation ~echni~ue of this invention. Ac~o ~ingly, the optical encoder can be used to ~I,Llol the s~A~ing ~ess so that reflectance samples are taken for a set period of time and only after a certain period of time has elapsed since the ~orderline has been detected, thereby restricting the scanning to the desired central portion of the narrow dimension of the bill.
The optical sensing and correlation technique is based upon using the a~ove process to generate a series of master characteristic patterns using "new~ or "original" bills for each denomination of currency that is to be detected. According to a preferred embodiment, four characteristic patterns are generated and stored within system memory,- preferably in the form of an ~ M
34 (see FIG. 1), for each detectable currency denomination. The characteristic patterns for each bill are generated colLe~o.,ding, respectively, to optical scans,- i.e., the process of obtaining the pre-determined number of reflectance samples, performed on the "top" and "bottom" surfaces of the bill ta~en ~oth along the "forward" and "reverse" directions relative to the pattern printed on the bill.
In adapting the invented t~hnique to U.S. currency, for example, characteristic patterns are generated and stored for seven different denominations of U.S.
currency, i.e., $1, S2, S5, $10, $20, $50 and $100.
Accordingly, a master set of 28 different characteristic 2156~9!3 _7 patterns is stored within the system memory for subsequent correlation ~ul~o~es. Once the master characteristic patterns have been stored, the pattern generated by ~C~nni~ a bill under test is compared by the CPU 30 with each of the 28 pre-stored master characteristic patterns to generate, for each comparison, a correlation number le~e_enting the extent of correlation, i.e., similarity between correspon~in~ ones of the plurality of data samples, for the patterns being compared.
The CPU 30 is ploy~ammed to identify the denomination of the scanned bill as co~e~o-l;ng to the stored characteristic pattern for which the correlation number resulting from pattern comparison is found to be the highest. In order to preclude the possibility of mi~h~acterizing the denomination of a scanned bill, as well as to reduce the possibility of spurious notes being identified as belonging to a valid denomination, a bi-level threshold of correlation is used as the basis for making a "positive" call, as will be explained in detail below.
Using the above sensing and correlation approach, the CPU 30 is pLoy,ammed to count the number of bills belonging to a particular currency denomination as part of a given set of bills that have been scanned for a given scan batch, and to determine the ayyLeyate total of the currency amount ~ e~ented by the bills scanned during a scan batch. The CPU 30 is also linked to an ouL~uL unit 36 which is adapted to provide a display of the number of bills counted, the breakdown of the bills in terms of currency denomination, and the ayyle~ate total of the currency value represented by counted bills.
The ~L~ unit 36 can also be adapted to provide a print-out of the displayed information in a desired format.
Referri~g now to FIG. 2 there is shown a representation, in block diagram form, of a preferred 21~6g~9 - ~ ~

circuit arrangement for processing and correlating reflectance data according to the system of this invention. As shown therein, the CPU 30 accepts and processes a variety of input signals including those from the optical encoder 32, the photodetector 26 and a memory unit 38, which can be a static random access memory (RAM) or an erasable ~Lcy.ommable read only memory (~K~
The memory unit 38 has stored within it the correlation ~cyLam on the basis of which patterns are generated and test patterns compared with stored master ploylams in order to identify the denomination of test ~ ency. A
~sLal 40 serves as the time base for the CPU 30, which is also provided with an external reference voltage VREF
on the basis of which peak detection of sensed reflectance data is performed, as explained in detail below.
The CPU 30 also accepts a timer reset signal from a reset unit 44 which, as shown in FIG. 2A, accepts the ~L~L voltage from the photodetector 26 and compares it, by means of a threshold detector 44A, relative to a pre-set voltage threshold, typically 5.0 volts, to provide a reset signal which goes "high" when a reflectance value corresponding to the presence of paper is sensed. More specifically, reflectance sampling is based on the premise that no portion of the illuminated light strip (24 in FIG. 1) is reflected to the photodetector in the absence of a bill positioned below the scanhead. Under these conditions, the o~L~uL of the photodetector represents a "dar~" or "zero" level reading. The photodetector o~ changes to a "white" reading~
typically set to have a value of about 5.0 volts, when the edge of a bill first becomes positioned below the scanhead and falls under the light strip 24. When this occurs, the reset unit 44 provides a "high" signal to the CPU 30 and marks the initiation of the scanning procedure.

2I~699~

In accordance with a feature of this invention, the thickness of the illuminated strip of light produced by the light SOUlCeo within the Cc~nho~d is set to be relatively small for the initial stage of the scan when S the thin borderline is being detected. The use of the narrow slit increases the sensitivity with which the reflected light is detected and allows minute variations in the "gray~ level reflected off the bill surface to be ~en-^~. This is important in enO~ing that the thin boraerline of the pattern, i.e., the starting point of the printed pattern on the bill, is accurately detected.
Once the borderline has been detected, subsequent reflectance sampling is performed on the basis of a relatively wider light strip in order to completely scan across the narrow dimension of the bill and obtain the desired number of samples, at a rapid rate. The use of a wider slit for the actual sampling also smoothens out the ~u 4uL characteristics of the photodetector and realizes the relatively large magnitude of analog voltage which is essential for a~a ~Le representation and processing of the detected reflectance values.
Returning to FIG. 2, the CPU 30 pro~sC~c the o~L~uL
of photodetector 26 through a pea~ detector 46 which essentially functions to sample the photodetector-ouL~uL
voltage and hold the highest, i.e., peak, voltage value -G~ ,Lered after the detector has been enabled. The peak detector is also adapted to define a scaled voltage on the basis of which the pattern borderline on bills is detected. The detector 46 includes an ADC 48 for digitizing the photodetector o~L~uL and a digital-to-analog convertor (DAC) 50 for reconverting the signals to an analog form on the ~asis of the pre-selected reference voltage VREF from the voltage source 42. The o~L~uL of DAC 50 is fed through an inverting amplifier 52 to a 3S vo~tage divider 54 which lowers the input voltage down to a scaled voltage Vs representing a predefined percentage of the peak value. The voltage Vs is ~ased upon the 21~6999 '7` . ~

percentage drop in o~ L voltage of the peak detector as it reflects the transition from the Uhigh" reflectance value resulting from the Cc~nning of the unprinted edge portions of a ~uL~e~ bill to the relatively lower S hy~y~ reflectance value resulting when the thin borderline is encountered. Preferably, the scaled voltage Vs is set to be about 70 - 80 percent of the peak voltage.
The scaled voltage Vs is supplied to a line detector 56 which is also provided with the incoming instantaneous o~L~u~ of the photodetector 26. The line detector 56 compares the two voltages at its input side and generates a signal ~ET which normally stays "low" and goes "high"
when the edge of the bill is scanned. The signal ~ET
goes "low" when the incoming photodetector ou~u~ reaches the pre-defined percentage of the peak photodetector v~L~L up to that point, as le~esented by the-voItage Vs.
Thus, when the signal ~ET goes "low", it is an indication that the borderline of the bill pattern has been detected. At this point, the CPU 30 initiates the actual reflectance sampling under control of the encoder 32 (see FIG. 2) and the desired fixed number of reflectance samples are obt~; n~ as the currency bill moves across the illuminated light strip and is r^~nn~ along~the ce~ al section of its narrow dimension.
When master characteristic patterns are being generated, the reflectance samples resulting from the cCAnning of a "newn bill are loaded into corresponding designated sections within a system memory 60, which is preferably an ~OII. ~he loading of samples is accomplished through a buffered address latch 58, if nec~s~ry. Preferably, master patterns are generated by Cc~nn;ng a "new" bill a plurality of times, typically three (3) times, and obt~ining the average of corresponding data samples before storing the average as representing a master pattern. During currency discrimination, the reflectance values resulting from the 17 2 1 ~
srAnn; ng of a test bill are sequentially compared, under ~o~ ol of the correlation p~ ~m stored within the -memory unit 38, with each of the correspQn~ing characteristic patterns stored within the EEPROM 60, again through the address latch 58.
Referring now to FIGS. 3-7, there are shown flow charts illustrating the sequence of operations involved in implementing the above-described optical sensing and correlation terh~;que of this invention. FIG. 3, in 0 part~ r~ illustrates the sequence involved in detecting the pl2sence of a ~ill under the -~Anhead and the borderline on the bill. m is section of the system p~Gy~am, designated as "TRIGGER", is initiated at step 70. At step 71 a determination is made as to whether or not a start-of-note interrupt, which signifies that the system is ready to search for a presence of a bill, is set, i.e., has G~l~ed. If the answer at step 71 is found to be positive, step 72 is reached where the prcsen~e of the bill below the scanhead is ascertained on the basis of the reset prs~-C~ e described above in connection with the reset unit 44 of FIG. 2.
If the answer at step 72 is found to be positive, i.e., a bill is found to be present, step 73 is reached where a test is performed to see if the borderline has been detected on the basis of the reduction in peak value to a predefined percentage thereof, which, as described above, is indicated by the signal L~T going "low.~ If the answer at step 73 is found to be negative, the ~o~lam continues to loop until the borderline has been detected. If the answer at step 72 is found to be negative, i.e., no bill is found to be present, the start-of-note interrupt is reset at step 74 and the cyLam returns from inte~ at step 75.
If the borderline is found to have been detected at step 73, step 76 is accessed where an A/D completion interrupt is enabled, thereby signifying that the analog-to-digital conversion can subsequently be performed at 21~i~9~9 desired time intervals. Next, at step 77, the time when the first reflectance sample is to be obtained is i ~ in conjunction with the ~ L of the optical ~oAPr. At step 78 the capture and digitization of the detected reflectance samples is undertaken by recalling a routine designated as ~STARTA2D" which will be described in detail below. At the completion of the digitization ~ s, the end-of-note interrupt is enabled at step 79, which resets the system for Cpncin~ the ~Le_cnce of the following bill to be ~^~nned. S~hc~ently, at step 80 the ~iGy~om l~L~.~ from interrupt. If the start-of-note interrupt is not found to have o~ Led at step 71, a determination is made at step 81 to see if the end-of-note interrupt has occurred. If the answer at 81 is negative, the ~yLam returns from interrupt at step 85.
If a positive answer is obtained at 81, step 83 is ~ccPccp~ where the start-of-note interrupt is activated and, at step 84, the reset unit, which monitors the ~L.--^nc~ of a bill, is reset to be ready for determining the ~escnce of bills. Subsequently, the program returns from interrupt at step 85.
Referring now to FIGS. 4A and 4B there are shown, respectively, routines for starting the STARTA2D routine and the digitizating routine itself. In FIG. 4A, ~he initiation of the ST~T~D routine at step 90 csuses the sample pointer, which provides an indication of the sample being obtAine~ and digitized at a given time, to be initialized. Subsequently, at step 91, the particular ~nnPl on which the analog-to-digital conversion is to be performed is ena~led. The inteLL~pL authorizing the digitization of the first sample is enabled at step 92 and the main ~LoyLam accessed again at step 93.
- FIG. 4B is a flow chart illustrating the sequential proo~ te involved in the analog-to-digital conversion routine, which is designated as "A2D". The routine is started at step 100. Next, the sample pointer is decremented at step 101 so as to maintain an indication 21569~9 of the number of samples remaining to be ob~;n~. At step 102, the digital data corr~cpQ~ing to the o~L~u~ of the photodetector for the current sample is read. The data is converted to its final form at step 103 and stored within a ~e ~efined memory segment as Xl~.
Next, at step 105, a check is made to see if the desired fixed number of samples "N" has been taken. If the answer is found to be negative, step 106 is arceC~e~
where the inte~u~ authorizing the digitization of the ~ e~in~ sample is enabled and the ~.6y~m ~Lu~ from interrupt at step 107 for completing the rest of the digiti 7i~ v~esc~ However, if the answer at step 105 is found to be positive, i.e., the desired number of samples have already been obtained, a flag indicating the same is set at step 108 and the program returns from interrupt at step 109.
Referring now to FIG. s, there is shown the sequential ~O~e~u e involved in ex~ ing the routine, designated as ~ , which performs the mathematical steps involved in the correlation process. The routine is started at step 110. At step 111, all interrupts are disabled while CPU initialization occurs. At step 112, any constants associated with the sampling process are set and, at step 113, communications protocols, if any, for ~y~h~n~e of ~o~essed data and ~c~oci~ted results, bad rates, interrupt masks, etc. are defined.
At step 114, the reset unit indicating the presence of a bill is reset for detecting the presence of the - first bill to be scAnned. At step 115, the start-of-note interrupt is enabled to put the system on the look out for the first incoming bill. Subsequently, at step 116, all other related interrupts are also enabled since, at this point, the initialization process has been completed and the system is ready to begin cc~nni ng bills. A check is made at step 117 to see if, in fact, all the desired number of samples have been ob~;ne~. If the answer at step 117 is found to be negative the program loops until a positive answer is obtained. At that time, step 118 is accessed where a flag is set to indicate the initiation of the correlation procedure.
In accordance with this invention, a simple correlation ~locedu~e is utilized for processing digitized reflectance values into a form which is conveniently and accurately compared to correspQnAin~
values pre-stored in a identical format. More specifically,.as a first step, the mean value X for the set of digi~ized reflectance samples (comparing ~n" samples) obt~ine~ for a bill scan run is first obtained as below:
n Xj X = ~ ............ (1) i=0 n Subsequently, a normalizing factor Sigma "a" is determined as being eguivalent to the sum of the square of the difference between each sample and the mean, as normalized by the total number of samples. More specifically, the normalizing factor is calculated as below:
lXj_XI2 a = ~ (2) i=0 n In the finai step, each reflectance sample is normalized by obtaining the difference between the sample and the above-calculated mean value and dividing it b~
the square root of the normalizing factor Sigma "a" as defined by the following equation:
Xj--X
Xn = ............. . (3) (o) ~
The result of using the above correlation equations is that, subsequent to the normalizing process, a relationship of correlation exists between a test pattern and a master pattern such that the ag~Le~ate sum of the products of corresponding samples in a test pattern and any master pattern, when divided by the total number of 2~ $~
... .

samples, equals unity if the patterns are identical.
Otherwise, a value less than unity is obtained.
Accordingly, the correlation number or factor resulting from the comparison of normalized samples within a test pattern to those of a stored master pattern provides a clear indication of the degree of similarity or correlation between the two patterns.
According to a preferred embodiment of this invention, the fixed number of reflectance samples which are digitized and normalized for a bill scan is selected to be 64. It has experimen~ally been found that the use of higher binary orders of samples (such as 128, 256, etc.) does not provide a corresron~ingly increAc~
discrimination efficiency relative to the increased processing time involved in implementing the above-described correlation procedure. It has also been found that the use of a binary order of samples lower than 64, such as 32, produces a substantial drop in discrimination efficiency.
The correlation factor can be represented conveniently in binary terms for ease of correlation. In a preferred embodiment, for instance, the factor of unity which results when h~.~ed percent correlation exists is represented in terms of the binary number 210, which is equal to a decimal value of 1024. Using the aboveprore~-lre, the normalized samples within a test pattern are compared to each of the 28 master characteristic patterns stored within the system memory in order to determine the particular stored pattern to which the test pattern most corresponds by identifying the ~omr~rison which yields a correlation number closest to 1024.
According to a feature of this invention, a bi-level threshold of correlation is required to be satisfied before a particular call is made. More specifically, the correlation procedure is adapted to identify the two highest correlation numbers resulting from the comparison of the test pattern to one of the stored patterns. At 21 569.99 that point, a minimum threshold of correlation is required to be satisfied by these two correIation numbers. It has-experimentally been found that a correlation number of about 800 serves as a good cut-off threshold above which positive calls may be made with a high degree of confidence and below which the designation of a test pattern as corresponding to any of the stored patterns is uncertain. As a ~ -n~ thresholding level, a minimum separation is prescribed between the two highest correlation numbers before making a call. This ~1~DU1eD
that a positive call is made only when a test pattern does not COLL~_~O~, within a given range of correlation, to more than one stored master pattern. Preferably, the minimum separation between correlation numbers is set to be between 100-150.
Returning now to FIG. 5, the correlation procedu~e is initiated at step ll9 where a routine designated as "PROOESS" is aCc~Cce~ The p~o~ed~Le involved in executing this routine is illustrated at FIG. 6A which shows the routine starting at step 130. At step 131, the mean X is calculated on the basis of Equation (1). At - step 132 the sum of the squares is calculated in accordance with Equation (2). At step 133, the digitized values of the reflectance samples, as leyLescnted in integer format, are converted to floating point format for further processing. At step 134, a check is made to see if all samples have been processed and if the answer is found to be positive, the routine ends at step 13S and the main program is acc~cc~ again. If the answer at step 134 is found to be negative, the routine returns to step 132 where the above calculations are repeated.
At the end of the routine PROCESS, the ~ am 1e~UL~1S to the routine EXEC at step 120 where-the flag indicating that all digitized reflectance samples have been processed is reset. Subsequently, at step 121, a routine designated as "SIGCAL" is accessed. The procedure involved in executing this routine is ~~~ 23 21 ~6999 illustrated at FIG. 6B which shows the routine starting at step 140. At step 141, the s~uare root of the sum of the squares, as calculated by the routine PROCESS, is calculated in accordance with Equation (2). At step 142, the floating point values calculated by the routine PROCESS are normalized in accor~n~e with Equation (3) using the calculated values at step 141. At step 143, a check is made to see if all digital samples have been ~o ~ceA. If the answer at step 143 is found to be negative, the program ~e~ to step 142 and.the conversion is con~inl~e~ until all samples have been~
processed. At that point, the answer at step 143 is positive and the routine ~Lu~,ls to the main program at step 144.
Returning to the flow chart of FIG. 5, the next step to be executed is step 122 where a routine designated as "CO~RT`T." is a~ceCc~A. The proç~nre involved in executing this routine is illustrated at FIG. 7 which shows the routine starting at 150. At step 151, correlation results are initialized to zero and, at step 152, the test pattern is compared to the first one of the stored master patterns. At step 153, the first call corr~ponA;ng to the highest correlation number ob~ine~
up to that point is determined. At step 154, the second call co LL_~o~ g to the ~econA highest correlation number obt~in~ up to that point is determined. At step 155, a check is made to see if the test pattern has been compared to all master patterns. If the answer is found to be negative, the routine re~erts to step 152 where the comparison procedure is reiterated. When all master patterns have been compared to the test pattern, step 155 yields a positive result and the routine returns to the main program at step 156.
Returning again to FIG. 5, at step 123, a flag 3S indicating that the correlation procedure has been completed is reset and step 124 is accessed where a routine designated as "SERO~T" is initiated. It should -be noted that steps 118 and 123, which are directed to the setting and resetting of the flag TP2, primarily function to provide a measure of the processing time involved in the overall correlation ~S~-C~ e. These -5 steps can be dispensed with, if p~o~ ing time is not being monitored. The procedu~e involved in executing the routine S~K~ is illustrated at FIG. 8 which shows the routine as starting at step 160. At step 161, the ~u~ e,.~ denomination COLLe_~J~ to the first call is converted to ASCII format and displayed. At step 162, the correlation number ~u~ to the first cal~ is converted to ASCII format and displayed.
At step 163, the ~LL~n~y denomination co~Lea~ul,ding to the second call is converted to ASCII format and displayed. At step 164, the correlation number corresronA i ng to the second call is converted to ASCII
format and displayed. Subsequently, the routine ~eLULI~S
to the main program. At this point in the main program, the correlation ~ 0~71~ r e is completed and any related counting of identified denominations may be executed with the associated results also being displayed along with the co~ ea~On~ i ng calls and correlation numbers. After this correlation and display plG~ed~Le is completed, the system is ready for initiating the process of ccAnning the next incoming currency bill.
It should be noted that, in i~plementing the optical sensing and correlation tPc~nique of this invention, separate microprocessor units may be provided for (i) accomplishing the sampling and correlation ~O~eââ and (ii) for controlling the general functions of the overall system. In such an implementation, the general processor unit would preferably be used for displaying the identified denominations and any associated counting results. With this approach, the routine ~EROUT (FIG. 8) would merely involve the transmission of the bill denomination and call information from the sampling and 21569~
.

correlation proce~cor unit to the general processor unit for s~h~uent display.
Referring now to FIGS. 9A-C there are shown three test patterns generated, respectively, for the forward S -cc~n~;n~ of a $1 bill along its top face, the reverse ~C~nni~g of a $2 bill on its top face, and the forward sc~n~ing of a $100 bill about its top face. It should be noted that, for ~L~G-es of clarity the test patterns in FIGS. 9A-C were generated by using 128 reflectance samples per bill scan, as ~rP~ to the preferred use of only 64 samples. The marked difference existing between ~ n~in~ sample_ for these three test patterns is indicative of the high degree of confi~ence with which currency denominations may be called using the foregoing optical sensing and correlation procedure.
The optical sensing and correlation ~echnique described above permits identification of pre-programmed ~ul~ell~y denominations with a high degree of accuracy and is ~c~ upon a relatively low ~}Gc~s~ing time for digitizing sampled reflectance values and comparing them to the master characteristic patterns. The approach is used to scan currency bills, normalize the scanned data and generate master patterns in such a way that bill scans during operation have a direct col~e~ndence between compared sample points in portions of the bills which possess the most distin~;~h~hle printed indicia.
A relatively low number of reflectance samples is required in order to be able to adequately distinguish between several currency denominations.
A major advantage with this approach is that it is not required that currency bills be scanned along their wide dimensions. Conventional systems have been forced to adopt the wide dimension sc~nning approach in order to obtain the larger number of samples typically required for accurate denomination discrimination. Further, the reduction in the number of samples reduces the prooessing time to such an extent that additional comparisons can be made during the time available between the scanning of successive bills. More specifically, as described above, -it h~omes possible to compare a test pattern with at least four stored master characteristic patterns so that the system is made capable of identifying currency which is cc~nned in the "forward" or ~reverse" directions along the "top" or "bottom" surfaces of bills.
Another advantage accruing from the reduction in ~locessing time realized by the present sensing and correlation scheme is that the t ~ ~)0~- e time involved in either stopping the tr~nCFort of a bill that has been identified as "spurious~, i.e., not ~ol~esponding to any of the stored master characteristic patterns, or diverting such a bill to a separate stac~er bin, is correspondingly shortened. Accordingly, the s~stem can conveniently be ~loyL~mmed to set a flag when a scanned pattern does not correspond to any of the master patterns. The identification of such a condition can be used to stop the drive bill transport motor for the me~h~ m. Since the optical encoder is tied to the rotational movement of the drive motor, synchronism can be maintained between pre- and post-stop conditions. In the dual-proc~scor implementation discussed above, the information concerning the identification of a "spurious"
bill would be included in the information relayed to the general p~oc~c~r unit which, in turn, would ~I.L~ol 'he drive motor approriately.
The correlation procedure and the accuracy with which a denomination is identified directly relates to the degree of correspondence between reflectance samples on the test pattern and correspon~;ng samples on the stored master patterns. Thus, shrinkage of "used" bills which, in turn, causes a corre~o.1; ng reduction in their narrow dimension, can possibly produce a drop in the degree of correlation between such used bills of a given denomination and the corresponding master patterns.
Currency bills which have experienced a high degree of 2ls639g usage exhibit such a reduction in both the narrow and wide dimensions of the bills. While the sensing and correlation ~ec~nique of this invention remains relatively i~epon~ent of any changes in the wide dimension of bills, reduction along the narrow dimension can affect correlation factors by realizing a relative displacement of reflectance samples ob~i n~ as the "shrunk~ bills are tr~-crQ~ted across the ~cc~nh^~.
In order to accommodate or m-l1ify the effect of such narrow dimension shrin~in~ the ab~e described correlation ~echnique can be modified by use of a ~uy~cs~ive shifting approach whereby a test pattern which does not ~o~r~ to any of the master patterns is partitioned into predefined sections, and samples in ~cce-ccive sections are pL~ylessively shifted and compared again to the stored patterns in order to identify the denomination. It has experimentally been determined that such ~Loylessive shifting effectively counteracts any sample displacement resulting from shrin~age of a bill along its narrow dimension.
The progressive shifting effect is best illustrated by the correlation patterns shown in FIGS. lOA-D. For ~ul~G~es of clarity, the illustrated patterns were generated using 128 samples for each bill scan as -compared to the preferred use of 64 samples. FIG. lOAshows the correlation between a test pattern (~L~ented by a heavy line) and a ~Ol e~ g master pattern (represented by a thin line). It is clear from FIG. lOA
that the degree of correlation between the two patterns is relatively low and exhibits a correlation factor of 606.
The manner in which the correlation between these patterns is increased by employing progressive shifting is best illustrated by considering the correlation at the reference points designated as A-E along the axis defining the number of samples. The effect on correlation produced by "single" progressive shifting is 21~6999 -shown in FIG. 10B which shows "single~ shifting of the test pattern of FIG. 10A. This is affected by dividing the test pattern into two equal segments each comprising 64 samples. The first segment is re~ine~ without any shift, whereas-the seco~ segment is shifted by a factor of one data sample. Under these conditions, it is found that the correlation factor at the reference points located in the shifted section, particularly at point E, iS improved.
FIG. 10C shows the effect produced by "double"
essive shifting whereby sec~i~n~ of the test pattern are shifted in three stages. This is accomplished by dividing the overall pattern into three approximately equal sized sections. Section one is not shifted, section two is shifted by one data sample (as in FIG.
10B), and section three is shifted by a factor of two data samples. With ''doubleU shifting, it can be seen that the correlation factor at point E is further increased.
On a similar basis, FIG. 10D shows the effect on correlation proA~lc~ by "triple" ~oyLessive shifting where the overall pattern is first divided into four (4) approximately equal sized sections. Subsequently, section one is ret~in~ without any shift, section two is shifted by one data sample, section three is shifted by two data samples, and section four is shifted by three - data samples. ~nder these conditions, the correlation factor at point E is seen to have increased again.
FIG. 10E shows the effect on correlation produced by "quadruple" shifting, where the pattern is first divided into five (5) approximately equal sized sections. The first four (4) sections are shifted in accordance with the "triple" shifting approach of FIG. 10D, whereas the fifth section is shifted by a factor of four (4) data samples. From FIG. 10E it is clear that the correlation at point E is increased almost to the point of superimposition of the compared data samples.

- 21S693~

The advantage of using the progressive shifting approach, as opposed to merely shifting by a set amount of data samples across the overall test pattern, is that the improvement in correlation achieved in the initial sections of the pattern as a result of shifting is not neutralized or offset by any ~hsequent shifts in the test pattern. It is apparent from the abo~e figures that the degree of correlation for sample points falling within the progressively shifted sections increases 10 corr~ i n~ly~
More importantly, the ~r~y.6~ive shifting-r~Ti7es substantial increases in the overall correlation factor resulting from pattern comparison. For instance, the original correlation factor of 606 (FIG. lOA~ is increased to 6B1 by the "single" shifting shown in FIG.
lOB. The "dou~le" shifting shown in FIG. lOC increases the correlation number to 793, the "triple" shifting of FIG. lOD increases the correlation number to 906, and, finally, the "quadruple" shifting shown in FIG. lOE
increases the overall correlation number to 960. Using the above approach, it has been determined that used currency bills which exhibit a high degree of narrow dimension shrinkage and which cannot be accurately identified as belonging to the correct currency denomination when the correlation is performed without any shifting, can be identified with a high degree of certaînty by using ~Gylessive shifting approach, preferably by adopting "triple" or "quadruple" shifting.
Referring now to FIG. ll, there is shown apparatus 210 for currency discrimination and counting which embodies the principles of the present invention. The apparatus comprises a housing 212 which includes left and right hand sidewalls 214 and 216, respectively, a rear wall 218, and a top surface generally designated as 220.
The apparatus has a front section 222 which comprises a generally ~e~tical forward section 224 and a forward sloping section 225 which includes side sections provided 2l~699~

with ~ol.L-ol panels 226A and 226B upon which various ~o..Llvl switches for operating the apparatus, as well as ~scociated display means, are mounted.
For accepting a stack of currency bills 228 which have to be discriminated according to denomination, an input bin 227 is defined on the top surface 220 by a downwardly sloping ~po~L surface 229 on which are provided a pair of vertically di~o_ed side walls 230, 232 li~k~A together by a vertically ~ oA front wall 234. The walls 230, 232 and 234, in combination with the sloping surface 229, define an enclosure where the stack of ~lL~Cy bills 228 is positioned.
From the input bin, currency bills are moved along a tri-sectional transport path which includes an input path where bills are moved along a first direction in a substantially flat position, a curved guideway where bills are accepted from the input path and guided in such a way as to change the direction of travel to a second different direction, and an v~L~uL path where the bills are moved in a flat position along the C~conA different direction across currency discrimination means located downstream of the curved guideway, as will be described in detail below. In accordance with the improved optical sensing and correlation ~echnique of this invention, the transport path is defined in such a way that currency bills are accepted, transported along the input path, the curved guideway, and the ouL~L path, and stacked with the narrow dimension "W" of the bills h~i ng maintained parallel to the transport path and the direction of movement at all times.
The forward sloping section 225 of the document h~nAl;ng apparatus 210 includes a platform surface 235 centrally disposed between the side walls 214, 216 and is adapted to accept currency bills which have been processed through the currency discri~in~tion means for being delivered to a stacker plate 242 where the processed bills are stacked for subsequent removal. More ~`

specifically, the platform 235 includes an associated angular surface 236 and is-provided with openings 237, 237A from which flexible blades 238A, 240A of a corresron~;n~ pair of stacker whe~lc 238, 240, recr~ctively, extend outwardly. The stacker wheels are ~rrorted for rotational movement about a stacker shaft 241 disposed about the angular surface 236 and F~r~ed across the side walls 214 and 216. The flexible blades 238A, 240A of the st~cker wheelc cooperate with the stacker platform 235 and the or~;n~s 237, 237A to pick up ~U.~l.Cy bills delivered thereto. The blades operate to ~l~hc~quently deliver such bills to a stacker plate 242 which is linked to the angular s~rface 236 and which also accommodates the stacker wheel openings and the wheels projecting therefrom. During operation, a currency bill which is delivered to the stacker platform 235 is picked up by the flexible blades and becomes lodged between a pair of adjacent blades which, in combination, define a curved enclosure which decelerates a bill entering therein and serves as a means for supporting and transferring the bill from the stacker platform 235 onto the stacker plate 242 as the stacker wheels rotate. The merhA~;cal configuration of the stacker wheels and the flexible blades provided thereupon, as well as the manner in which they cooperate with the stacker platform and the stacker plate, is conventional and, accordingly, is not described in detail herein.
The bill handling and counting apparatus 210 is provided with means for picking up or "stripping"
currency bills, one at a time, from bills that are stacked in the input bin Z27. In order to provide this stripping action, a feed roller 246 is rotationally C~lcp~nAe~ about a drive shaft 247 which, in turn, is supported across the side walls 214, 216. The feed roller 246 projects through a slot provided on the downwardly sloping surface 229 of the input bin 227 which - 21~6999 defines the input path and is in the form of an eccentric roller at least a part of the periphery of which is provided with a relatively high friction-bearing surface 246A. The surface 246A is adapted to engage the bottom S bill of the bill stack 228 as the roller 246 rotates:
this initiates the advancement of the bottom bill along the feed direction represented by the arrow 247B (see FIG. 13). The ~c~entric surface of the feed roller 246 essentially "jogs~ the bill stac~ once per revolution so aæ to agitate and 1~ the bottom currency bill w~thin the stack, ther~by facilitating the advancement of the bottom bill along the feed direction.
The action of the feed roller 246 is supplemented by the provision of a capstan or drum 248 which is suspended for rotational movement about a capstan drive shaft 249 which, in turn, is supported across the side walls 214 and 216. Preferably, the capstan 248 comprises a centrally ~icro5~d friction roller 248A having a smooth surface and formed of a friction-bearing material such as rubber or hard plastic. The friction roller is sandwiched between a pair of capstan rollers 248B and 248C at least a part of the external periphery of which are provided with a high friction-bearing surface 248D.
The friction surface 248D is akin to the friction surface 246A provided on the feed roller and permits the capstan rollers to frictionally advance the ~ottom ~ill along the feed direction. Preferably, the rotational movement of the capstan 248 and the feed roller 246 is synchronized in such a way that the frictional surfaces provided on the peripheries of the capstan and the feed roller rotate in unison, thereby inducing complimentary frictional contact with the bottom bill of the bill stack 228.
- In order to ensure active contact between the capstan 248 and a currency bill which is jogged by the feed roller 246 and is in the process of being advanced 21~6999 picker rollers 252A, 252B, are provided-for exert.ing a consistent downward force onto the leading edges of the currency bills stationed in thei-input bin 227. The picker rollers are ~u~G,Led on ~o,,e~ g picker arms S 254A, 254B which, in turn, are ~rrorted for arcuate movement about a support shaft 256 suspended across the side walls of the apparatus. The picker rollers are free wheeling about the picker arms and when there are no currency bills.in contact with the capstan 248, bear down upon the friction roller 248A and, accordingly, are in~ A into counter-rotation therewith. Howe~er, when currency bills are present.and are in contact with the capstan 248, the picker rollers bear down into contact with the le~ing edges of the currency bills and exert a lS direct downward force on the bills since the rotational movement of rollers is inhibited. The result is that the advancing action brought about by contact between the friction-bearing surfaces 248D on the capstan rollers 248B, 248C is accentuated, thereby facilitating the stripping away of a single ~u, fe~l~y bill at a time from the bill stack 228.
In between the picker arms 254A, 254B, the support shaft 256 also ~ .l,orts a separator arm 260 which carries at its end remote from the shaft a stationary stripper shoe 258 which is provided with a frictional surface which imparts a frictional drag upon bills onto which the picker rollers bear down. The separator arm is mounted for arcuate movement about the support shaft 256 and is spring loaded in such a way as to bear down with a selected amount of force onto the capstan.
In operation, the picker rollers rotate with the rotational movement of the friction roller 248A due to their free wheeling nature until the leading edges of one or more currency bills are encountered. At that point, the rotational mo~ement of the picker rollers stops and the leading edges of the bills are forced into positive contact with the friction bearing surfaces on the 21 ~G939 periphery of the capstan rollers. The effect is to force the bottom bill away from the rest of the bills along the direction of rotation of the capstan. At the same time, the separator shoe 258 also bears down on any of the bills that are ~opelled forward by the capstan rollers.

The tension on the picker arm 254A is selected to be such that the downward force exerted upon such a propelled bill allows only a single bill to move ~orward. If two or more bills h~rp~n to be ~Lo~elled out of the contact establi~h~ between the picker rollers and the capstan rollers, the downward force exerted by the spring loaded shoe should be sufficient to ;nhihit further forward movement of the bills. The tension under which the picker arm is spring loaded can be conveniently adjusted to control the downward bearing force exerted by the shoe in such a way as to compliment the bill stripping action produced by the picker rollers and the capstan rollers. Thus, the possibility that more than two bills may be propelled forward at the-same time due to the rotational movement of the capstan is significantly reduced.
The bill tra~ ol~ path includes a curved guideway 270 provided in front of the capstan 248 for accepting currency bills that have been propelled forward along the input path defined by the forward section of the sloping surface 229 into frictional contact with the rotating capstan. The guideway 270 includes a curved section 272 which corresponds substantially to the curved periphery of the capstan 248 so as to compliment the impetus provided by the capstan rollers 248B, 248C to a stripped currency bill.
A pair of idler rollers 262A, 262B is provided downstream of the picker rollers for guiding bills propelled by the capstan 248 into the curved guideway 270. More specifically, the idler rollers are mounted on corresponding idler arms 264A, 264B which are mounted for 21~6999 3~
arcuate movement about an idler shaft 266 which, in turn, is supported across the side walls of the apparatus. The idler arms are spring loaded on the idler shaft so that a selected downward force can be exerted through the idler rollers onto a stripped bill, thereby ensuring continued contact between the bill and the capstan 248 until the bill is guided into the curved section 272 of the guideway 270.
Do~ am of the curved section 272, the bill transport path has an ouL~u~ path for currency bills.
The ouL~L path is provided in the form of a flat section 274 along which bills which have been guided along the curved guideway 270 ~y the idler rollers 262A, 262B are moved along a direction which is opposite to the direction along which bills are moved out of the input bin. The movement of bills along the direction of rotation of the capstan, as induced ~y the pic~er rollers 252A, 252B and the capstan rollers 248B, 248C, and the gui~nçe provided by the section 272 of the curved guideway 270 changes the direction of movement of the currency bills from the initial movement along the sloping surface 229 of input bin 227 (see arrow 247B in FIG. 13) to a direction along the flat section 274 of the ouL~L path, as best illustrated in FIG. 13 by the arrow 272B.
Thus, a currency bill which is stripped from the bill stack in the input bin is initially moved along the input path under positive contact between the picker rollers 252A, 252B and the capstan rollers 248B, 248C.
Subsequently, the bill is guided through the curved guideway 270 under positive contact with the idler rollers 262A, 262B onto the flat section 274 of the G~U~ path.
In the output path, currency bills are positively guided along the flat section 274 by means of a transport roller arrangement which includes a plurality of axially spaced, positively driven transport rollers 282A, 284A, 2ls6999 286A which are disposed on a transport shaft 287 supported across the side walls of the apparatus. The flat section is provided with openings through which at least two of the transport rollers, ~p~cifically rollers 282A and 284A, project into counter-rotating contact with corresponding freewheeling passive rollers 292A, 294A.
The passive rollers are mounted on a ~ rL shaft 295 supported between the side walls of the apparatus below t`he flat section 274 of the ~uL~L path. The passive tra.~G~L rollers 292A, 294A are spring-loaded into counter-rotating contact with the active tran ~o~L
rollers 282A, 284A, 286A and the points of contact are made coplanar with the ~uL~L path so that currency bills can be moved along the path in a flat manner under the positive contact of the opposingly ~icpO~^~ active and passive rollers. A similar set of active transport rollers 2828, 284B, 286B and oppssing spring-loaded passive transport rollers 292B, 294B are provided do~,.~L~eam of the first set of transport rollers at a distance which is just short of the length of the narrow dimension of the currency bills that are to be discriminated. Further, the distance between the idler rollers 262A, 262B and the first set of transport rollers is selected to be such that a ~Le~.cy bill which is guided along the curved guideway 259 is pulled into contact Le~cell the first set of active and passive tral.a~o~L rollers just before the bill moves away from the positive contact between the idler rollers 262A, 262B
and the capstan 248.
The active transport rollers are driven a* a speed substantially higher than that of the capstan rollers.
- Since the passive rollers are freewheeling and the active rollers are positively driven, the first set of transport rollers cause a bill that comes in between the rollers along the flat section of the o~L~uL path to be pulled into the nip formed between the active and passive rollers. The higher speed of the active transport _ r~

rollers imparts an abrupt acceleration to the bill; this acceleration functions to separate or strip the bill away from any other bills that may have been guided into the curved guideway along with the bill being acted upon by - 5 the transport rollers.
Downstream of the first set of tr~eport rollers, currency bills are moved along the flat section into the nip formed between the ~on~ set of active and passive tr~ncrort rollers, ~hirh are driven at the same speed as that of the first set of tr~ ,u~L rollers. Preferably, the orrocing sets of active trAncpQrt rollers 282A-282B, 284A-284B, and 286A-286B are linked together by a belt 290 so that the positive rotating action of the transport shaft 287 is imparted to the rollers carried on the lS ce~onA trAncrort shaft 288. The disposition of the second set of transport rollers is such that the positive contact exerted by the rollers on a currency bill moving along the o~L~u~ path occurs before the bill is released from the positive contact between the first set of transport rollers. The second set of transport rollers, thus, positively guides a currency bill onto the stacker platform 235 from where the stacker wheels 238, 240 pick up the bill and ~pQCit it onto the stacker plate 242.
Referring now in particular to FIGS. 14 and 15, there are shown side and top views, respectively, of the ~o~lment processing apparatus of FIGS. 11-13, which illustrate the me~h~ical arrangement for driving the various means for transporting currency bills along the three sections of the transport path, i.e., along the input path, the curved guideway and the output path. As shown therein, a motor 300 is used to impart rotational movement to the capstan shaft 249 by means of a belt/pulley arrangement comprising a pulley 310 provided on the capstan shaft 249 and which is linked to a pulley 304 provided on the motor drive shaft through a belt 306.
The diameter of the driver pulley 310 is selected to be appropriately larger than that of the motor pulley 304 in order to achieve the desired speed reduction from the typically high speed at which the motor 300 operates.
The drive shaft 247 for the drive roller 246 is provided with rotary motion by means of a pulley 308 S provided thele~ol. which is linked to a c~,-e~ n~in~
pulley 310 provided on the capstan shaft 249 through a belt 312. The pulleys 308 and 310 are of the same diameter so that the drive roller shaft 247 and, hence, the drive roller 246, r.otate in ~ni~n with the capstan 248 mounted on the capstan shaft 249.
In order to impart rotational movement to the tra~v~L rollers, a pulley 314 is mounted on the tral~v~L roller shaft 287 correspo~ing to the first set of transport rollers and is li n~e~ to a corresponding pulley 316 on the capstan shaft 249 through a belt 318.
The diameter of the transport roller pulley 314 is selected to be a~o~iately smaller than that of the coLle~o..~ing capstan pulley 316 so as to realize a stepping-up in speed from the capstan rollers to the transport rollers. The C~cQn~ set of transport rollers mounted on the transport roller shaft 288 is driven at the same speed as the rollers on the first set of trAnsrort rollers by means of a pulley 320 which is linked to the transport pulley 314 by means of a belt 322.
As also shown in FIGS. 14 and 15, an optical encoder 299 is mounted on one of the trall~o~L roller shafts, preferably the passively driven transport shaft 288, for precisely tracking the lateral displacement of bills ~u~o~ed by the transport rollers in terms of the rotational movement of the transport shafts, as discussed in detail above in co~nection with the optical sensing and correlation technique of this invention.
In order to drive the stacker wheels 238, 240 an - 35 intermediate pulley 322 is mounted on suitable support means (not shown) and is linked to a corresponding pulley 324 provided on the capstan shaft 249 through a belt 326.

. ~.

Because of the time required for transporting currency bills which have been stripped from the currency stack in the input bin through the tri-sectional transport path and onto the st~cke~ platform, the cr~e~ at which the stacker wh~lc can rotate for delivering pro~sc~ bills to the stacker plate is n~c~cc~rily less than that of the capstan shaft. Accordingly, the diameter of the intermediate pulley 322 is selected to be larger than that of the co.~-r~Aing capstan pulley 324 so as to r~ 7e a reduction in ~r~e~. The interim pulley 322 has an ~-o~i~ted pulley 328 which is linke~ to a stacker pulley 330 provided on the drive shaft 241 for the stacker wheels 238, 240 by means of a belt 332. In the preferred embodiment shown in FIGS. 11-15, the stacker wheels 238, 240 rotate in the same direction as the capstan rollers. This is accomplished by arranging the belt 332 between the pulleys 328, 330 in a "Figure-8"
configuration about an anchoring pin 333 disposed between the two pulleys.
The curved section 272 of the guideway 270 is provided on its underside with an optical sensor arrangement 299, including an ~ED 298, for performing st~ rd ~UL~ICy h~Al i~g operations such as counterfeit detection using conventional ~Chn i ques, doubles ~
detection, length detection, skew detection, etc.
However, lml ~ke conventional arrangements, currency discrimination according to denomination is not perfonmed in this area, for reasons described below.
According to a feature of this invention, optical cr~nni~q of currency bills, in accordance with the above-described improved optical sensing and correlation ~echnique, is performed by means of an optical sc~nhead 296 which is disposed downstream of the curved guideway 270 along the flat section 274 of the ouL~uL path. More specifically, the scanhead 296 is located under the flat section of the output path between the two sets of transport rollers. The advantage of this approach is that optical cc~nni ng is performed on ~ills when they are maintained in a substantially flat position as a result of positive contact between the two sets of transport rollers at both ends of the bill along their narrow S dimension.
It should be understood that the above-described drive arrangement is provided for illustrative ~o~es only. Alternate arrangements for imparting the n~cec~ry rotational movement to generate movement of currency.
bills along the tri-sectional ~r~ nlL-path can be used just as effectively. It is important, however, that the surface speed of ~u.Lel~y bills across the two sets of transport rollers be greater than the surface speed of the bills across the capstan rollers in order to achieve optimum bill separation. It is this difference in speed that generates the abrupt acceleration of currency bills as the bills come into contact with the first set of transport rollers.
The drive arrangement may also include a one-way clutch (not shown) provided on the capstan shaft and the capstan shafts, the transport roller shafts and the stacker wheel shafts may be fitted with fly-wheel arrangements (not shown). The combination of the one-way - clutch and the fly wheels can be used to advantage in accelerated batch ~o~e~sing of currency bills by.
ensuring that any bills rem~ini~-7 in the transport path after ~L~llCy discrimination are automatically pulled o-ff the transport path into the stacker plate as a result of the inertial dynamics of the fly wheel arrangements.
As described above, implementation of the optical sensing and correlation technique of this invention requires only a relatively low number of reflectance samples in order to adequately distinguish between several currency denominations. Thus, highly accurate discrimination becomes possible even though currency bills are scanned along their narrow dimension. However, the accuracy with which a denomination is identified is 2~5G999 based on the degree of correlation between reflectance samples on the test pattern and correspon~ing samples on the stored master patterns. Accordingly, it is important that currency bills be transported across the discrimination means in a flat position and, more importantly, at a uniform speed.
This is achieved in the bill h~ g apparatus of FIGS. 11-15, by positioning the optical scanhead 296 on one side of the flat section 274 of the ou~L path between the two sets of tr~ncrort rollers. In this area, currency bills are main~in~ in positive contact with the two sets of rollers, thereby ensuring that the bills move across the cc~nheAd in a substantially-fIat fashion.
Further, a uniform speed of bill movement is maintained in this area because the second set of passive transport rollers is driven at a speed identical to that of the active transport rollers by means of the belt connecting the two sets of rollers. Disposing the optical ~c~nhead 296 in such a fashion downstream of the curved guideway 270 along the flat section 274 maintains a direct correspon~ence between reflectance samples obtained by the optically sc~nning of bills to be discriminated and the correspon~ing samples in the stored master patterns.
According to a preferred embodiment, the optical scanhead comprises a plurality of light sources acting in combination to uniformly illuminate light strips of the desired dimension upon currency bills positioned on the transport path ~elow the cc~nhead~ As illustrated in FIG. 16, the scanhead 296 includes a pair of LEDs 340, 342, directing beams of light 340A and 340B, respectively, downwardly onto the flat section 274 of the o~L~L path against which the Cc~nhe~ is positioned.
The LEDs 340, 342 are angularly disposed relative to the vertical axis Y in such a way that their respective light beams combine to illuminate the desired light strip 342.

The scanhead 296 includes a photodetector 346 centrally disposed directly above the strip for sensing the light reflected off the strip. The photodetector 346 is linked to a central processing unit (CPU)(not shown) for processing the ~nc~ data in accordance with the above-described-principles of this invention.
Preferably, the beams of light 340A, 340B from the ~EDs 340, 342, respectively, are passed through an optical mask 343 in order to realize the ill~minated strips of the desired dimensions.
In order to ~a~Lu~e reflectance samples with high accuracy, it is imFortant that the photodetector ca~L~e reflectance data uniformly across the illuminated strip.
In other words, when the photodetector 346 is positioned centrally above the light strip relative to the mid-point "0" thereof, the ouL~uL of the photodetector, as a function of the distance from the central point "0" along the X axis, should optimally approximate a step function as illustrated by the curve A in FIG. 17. With the use of a single light source angularly displaced relative to the vertical, the variation in photodetector output typically approximates a Gaussian function, as illustrated by the curve B in FIG. 17.
In accordance with a preferred embodiment, the two LEDs 340 and 342 are angularly disposed relative to the vertical axis by angles ~ and ~, respectively. The angles ~ and ~ are selected to be such that the resultant ouL~u~ of the photodetector is as close as possible to the optimum distribution curve A in FIG. 17. According to a preferred embodiment, the angles ~ and ~ are each selected to be 19.9 degrees. The photodetector ouL~uL
distribution realized by this arrangement is illustrated by the curve designated as "C" in FIG. 17 which effectively merges the individual Gaussian distributions of the light sources to yield a composite distribution which sufficiently approximates the optimum curve A.

21~69~9 The manner in which the plurality of light strips of different dimensions are generated by the optical ~c~nhead by means of an optical mask is illustrated in FIG. 18. As shown therein, the optical mask 350 essentially comprises a generally opaque area 352 on which two slits 354 and 356 are defined for allowing light from the light so~ce~ to pass through so as to illuminate light strips of the desired dimensions. More specifical~y, slit 354 co~e.-ro~ to the wide strip used for ob~inin~ the reflectance samples which co~ n~ to -the characteristic pattern for a test bill. Accoraing to an illus~rative embodiment, the wide slit 354 has a length of about .300~ and a width of about .oso". The C~con~ slit 356 is adapted to generate a relatively narrow illuminated strip used for detecting the thin borderline suL~o~.ding the printed indicia on currency bills, as described above in detail. According to the illustrative embodiment, the narrow slit 356 has a length of about .300" and a width of about .010".
It will be obvious that high precision mac~;ning would be required for precisely defining the slits. In practice, it becomes difficult to machine the narrow strip 3S6 on the optical mask 350. This problem is approached, according to a preferred embodiment, by defining the mask 350 in the form of separate sections 360 and 362. The section 360 has one edge machined to correspond to one half section 356A of the desired slit 356. The second section 362 has a corresponding edge machined to correC~on~ to the other half 356B of the slit 3S6. When the two sections 360 and 362 are mechanically linked to~ether, they e~fectively define the narrow strip 356. The advantage with this approach t S that, the two halves 356A, 356B, which together define the strip 356, can be precisely defined since machini~g on the edges of the mask can be handled with much more precision than ma~;ning within the mask itself.

Claims (10)

1. An improved method of generating a master pattern corresponding to a given denomination for use in a currency evaluating device, the master pattern being stored in a memory for subsequent comparison to a pattern generated from a bill under test, comprising the steps of:
generating a plurality of component patterns for a given denomination by scanning one or more genuine bills of said given denomination; and generating a master pattern for said given denomination, said master pattern being derived from an average of said component patterns;
said component patterns representing and approximating analog variations in characteristic information detected from a genuine bill during scanning, each of said component patterns comprising a plurality of sample values, each sample value being proportional to the detected characteristic information, said master pattern representing an average of analog variations of said characteristic information for said given denomination; said master pattern approximating the analog variations of said characteristic information, said master pattern comprising a plurality of master sample values, each master sample value being proportional to the detected characteristic information.
2. The method of claim 1 wherein said scanning is optical scanning.
3. The method of claim 1 or claim 2 wherein said plurality of component patterns for a given denomination are generated by scanning a single genuine bill of said given denomination a plurality of times.
4 The method of claim 3 wherein said single genuine bill is selected to be of new quality.
5. An improved method for discriminating among currency bills of different denominations, comprising the steps of:
illuminating a predetermined section of a currency bill by focusing at least onestrip of light thereupon;
detecting the light received from said illuminated section of said bill to generate an analog signal;
generating relative displacement between said strip of light and said currency bill so as to illuminate or optically scan successive sections of said bill along a predetermined dimension thereof;
obtaining a series of analog signals corresponding to light received from each of said successive bill sections using said strip of light;
digitizing and processing said series of analog signals to yield a set of digital data samples which, in combination, represent a data pattern characteristic of the currency denomination of said bill;
generating and storing a set of master characteristic patterns corresponding to optical scanning of genuine bills of each of the different currency denominations to be discriminated, said master patterns corresponding to said different denominations being derived from an average of a plurality of component patterns for each of said different denominations, each of said master patterns approximating the analog variations in light, each of said master patterns comprising a plurality of master sample values, each master sample value being proportional to the intensity of light, said component patterns for a given denomination being derived by scanning one or more genuine bills corresponding to said given denomination; and comparing the characteristic pattern for a scanned currency bill to each of saidstored master patterns to determine the degree of correlation therebetween, and thereby to identify the denomination of said currency bill.
6. The method of claim 5 wherein said plurality of component patterns for a given denomination are generated by scanning a single genuine bill of said given denomination a plurality of times.
7. A currency discriminating device comprising:
a detection circuitry for detecting characteristic information from a scanned bill;
a memory for storing at least one master pattern of characteristic information for each of a plurality of denominations of genuine bills; and a signal processing means for (1) generating a scanned pattern from said characteristic information detected from said scanned bill;
(2) performing a comparison whereby at least a portion of said scanned pattern is compared with at least a portion of at least one of said master patterns; and (3) indicating the denomination of said scanned bill or an error based on said comparison;
wherein said master patterns corresponding to said plurality of denominations are derived from an average of a plurality of component patterns for each of said plurality of denominations, said component patterns for a given denomination being derived by scanning one or more genuine bills corresponding to said given denomination; said component and master patterns comprising signal samples proportional to characteristic information.
8. The currency discriminating device of claim 7 further comprising:
a light source for illuminating a strip of a preselected segment of a scanned bill;
a detector for detecting characteristic information from said scanned bill, saidcharacteristic information being the intensity of light reflected from said scanned bill, said detector receiving reflected light from the illuminated strip on said scanned bill and producing a scanned signal representing variations in the intensity of the reflected light;
means for sampling said scanned signal at preselected intervals, each of said scanned signal samples being proportional to the intensity of the light reflected from a different strip of said preselected segment of said scanned bill; and wherein said memory stores at least one master pattern of stored intensity signal samples for each of a plurality of denominations of genuine bills, each of said stored intensity signal samples being proportional to the intensity of the light reflected from a different strip of said preselected segment of a genuine bill of a given denomination; andwherein said signal processing means (1) receives said scanned signal samples;
(2) generates a scanned pattern from said scanned signal samples;
(3) compares at least a portion of said scanned pattern with at least a portion of at least one of said mater patterns of stored intensity signal samples; and (4) indicates the denomination of said scanned bill or an error based on said comparison.
9. The currency discrimination device of claim 7 further comprising:
a bill separating station for receiving currency bills from a bill accepting station and feeding said bills, one at a time, to a bill transport mechanism, said bill transport mechanism transporting bills from said bill separating station to a stacking station; and wherein said detection circuitry comprises an optical scanning head located between saidbill separating and stacking stations for scanning a preselected segment of each bill transported between said stations by said transport mechanism, said scanning head including at least one light source for illuminating a strip of said preselected segment of a bill and at least one intensity detector for receiving reflected light from the illuminated strip on said scanned bill, said intensity detector producing an intensity output signal representing variations in the intensity of the reflected light; and further comprising means for sampling said intensity output signal at preselected intervals as a bill is moved across said scanning head, said intensity output signal samples being proportional to the intensity of the light reflected from a different strip of said preselected segment of a bill; and wherein said memory stores master patterns of intensity signal samples and wherein said component patterns for a given denomination are derived by scanning said preselected segments of one or more genuine bills corresponding to said given denomination aplurality of times with said scanning head and sampling said intensity output signals at said preselected intervals, said component patterns comprising output signal samples being proportional to the intensity of the light reflected from a different strip of said preselected segment of a bill and received by said intensity detector; and wherein said signal processing means (1) receives said output intensity signal samples;
(2) generates a scanned pattern from said output intensity signal samples;

(3) compares at least a portion of said scanned pattern with at least a portion of at least one of said master patterns of intensity signal samples; and (4) indicates the denomination of said scanned bill or an error based on said comparison.
10. The currency discrimination device according to any one of claims 7 to 9 wherein said plurality of component patterns for a given denomination are generated by scanning a single genuine bill of said given denomination a plurality of times.
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JP2994461B2 (en) 1999-12-27
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AU7180691A (en) 1991-08-21
AU669781B2 (en) 1996-06-20
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DE69125660D1 (en) 1997-05-22
CA2050589C (en) 1995-12-26

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