EP3111426A1 - Method for determining a sorting result for a security document and means for carrying out the method - Google Patents
Method for determining a sorting result for a security document and means for carrying out the methodInfo
- Publication number
- EP3111426A1 EP3111426A1 EP15707282.8A EP15707282A EP3111426A1 EP 3111426 A1 EP3111426 A1 EP 3111426A1 EP 15707282 A EP15707282 A EP 15707282A EP 3111426 A1 EP3111426 A1 EP 3111426A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- sub
- result
- classification
- nodes
- sensor data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 137
- 238000012545 processing Methods 0.000 claims description 94
- 238000004590 computer program Methods 0.000 claims description 14
- 238000011156 evaluation Methods 0.000 description 21
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Classifications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing 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
- G07D7/06—Testing 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
- G07D7/12—Visible light, infrared or ultraviolet radiation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B42—BOOKBINDING; ALBUMS; FILES; SPECIAL PRINTED MATTER
- B42D—BOOKS; BOOK COVERS; LOOSE LEAVES; PRINTED MATTER CHARACTERISED BY IDENTIFICATION OR SECURITY FEATURES; PRINTED MATTER OF SPECIAL FORMAT OR STYLE NOT OTHERWISE PROVIDED FOR; DEVICES FOR USE THEREWITH AND NOT OTHERWISE PROVIDED FOR; MOVABLE-STRIP WRITING OR READING APPARATUS
- B42D25/00—Information-bearing cards or sheet-like structures characterised by identification or security features; Manufacture thereof
- B42D25/20—Information-bearing cards or sheet-like structures characterised by identification or security features; Manufacture thereof characterised by a particular use or purpose
- B42D25/29—Securities; Bank notes
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing 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
- G07D7/04—Testing magnetic properties of the materials thereof, e.g. by detection of magnetic imprint
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing 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
- G07D7/181—Testing mechanical properties or condition, e.g. wear or tear
Definitions
- the present invention relates to a method for determining a sorting result for a value document using sensor data for the value document, which can be detected or recorded by means of a value-document processing device with one or more sensors, and by predetermined labeling parameters and means for the device of the method.
- leaf-shaped objects that represent, for example, a monetary value and therefore should not be arbitrarily produced by unauthorized persons. They therefore have features which are not easy to manufacture, in particular to be copied, whose presence is an indication of the authenticity, i. the manufacture by an authorized agency.
- Important examples of such value documents are coupons, vouchers, checks and in particular banknotes.
- Valuable document processing devices are used for the mechanical testing of such value documents.
- Such value document processing devices in particular banknote processing devices, classify value documents, in particular banknotes, by means of a predetermined classification method with regard to the value document type, banknotes with regard to currency and / or value, and / or authenticity and / or quality and / or orientation , Under the orientation of a value document, a rectangular value document is understood below to mean one of the four possible positions, which are defined by rotations of the value document around its longitudinal and transverse axes in each case
- the quality of a value document is understood in particular as the state thereof; the state can be in bank notes, for example, by assignment to classes such as "fit” and / or “unfit for use” and / or “damaged” or “damaged” in connection with the type of damage.
- the value documents can then, for example, be sorted and, if appropriate, stored in corresponding output areas. This is explained using the example of value documents in the form of banknotes.
- the classification is due to different physical properties of the individual, d. H. each processed, banknote.
- physical properties are optical properties, for example color properties, magnetic properties or ultrasound properties.
- sensor data are generated by means of the sensors thereof, which are used for the classification.
- the sensor data of a respective sensor describe the physical property or physical properties detected by the respective sensor.
- sensor data is generally understood to mean in particular, in particular, raw data formed by a sensor, which, apart from processing operations in the sensor and / or corrections, for example also with respect to calibration and / or elimination of noise or background components, are unprocessed.
- an evaluation data processing device which can also be at least partially for controlling the Werturgibear- processing device or as a control and evaluation, by means of a classification method under evaluation of Sensor data determined a classification result.
- banknote features which at least partially characterize the banknote type and / or the authenticity and / or the quality of the banknote are determined in appropriate predefined sub-steps by suitable evaluation methods.
- the evaluation device calculates a classification result which subsequently determines in which output bin of the banknote processing device the banknote is to be stored, and is therefore referred to as a sorting result in the context of the present invention.
- the value device In the case of training the value device as
- the control and evaluation device can control a transport device of the banknote processing device as a function of the classification or sorting result.
- the evaluation procedures and the determination of the classification result must be adapted to the type of banknotes to be processed and also to the requirements of the banknote processing facility operators.
- the evaluation device preferably at least one evaluation program running therein, can be parameterized, ie. H. there are classification parameters whose values can be predefined and which, when carrying out the classification process, i. H. the evaluation and actual classification, or the determination of the classification result are used;
- This adaptation of the classification parameter values also referred to as adaptation of the classification parameters, optionally in conjunction with the definition of evaluation sub-steps and their sequence, is referred to below as an adaptation.
- the sensor data of corresponding, suitably predetermined banknotes can be used for classification purposes.
- parameter adjustment can be used. More specifically, in a first step in a measurement data recording for the given banknotes with the banknote processing device corresponding sensor data are detected and stored. These sensor data are then used in a second step to determine the classification parameter values.
- a similar problem may arise if, during the normal operation of a value-document processing device, it is to be checked why a particular sorting result has been determined for a processed value document.
- the object of the present invention is to provide a method for determining a sorting result for a document of value, which uses a classification method and which makes it easy to understand the occurrence of a sorting result using the classification method used in the determination method using predetermined classification parameters was obtained; It is also the task to allocate funds for carrying out the method.
- the object is achieved by a method according to claim 1 and in particular a method for determining a sorting result for a value document using sensor data for the value document, which can be detected or recorded by means of a value-document processing device with one or more sensors, and predetermined classification parameters.
- a predetermined classification method is carried out using the sensor data and at least one of the classification parameters, in the implementation of which predetermined sub-steps are carried out, at least some of which contain a decision, and after performing the sub-steps a class is determined as the result of sorting , wherein at least when making the decisions at least one of the respective decision associated classification parameters and / or at least a part of the sensor data and / or at least a part-step result, which was obtained in performing a previous substep, is used.
- a display device is actuated for the determined sorting result or the sensor data for the value document such that it shows at least one section of a graph with nodes and at least two edges connecting the nodes, wherein the nodes have a start node, at least one substep node, which represents a sub-step necessary for obtaining the sorting result, and at least one result node representing a possible sorting result, and the edges connect the nodes such that they together with the nodes connected by them represent a sequence of sub-steps represented by the classification process , and wherein those edges are identified which form a continuous path from the start node to the result node representing the sort result, which determines the execution of the result Representing the sensor data classification method, and / or showing as edges only those edges constituting a continuous path from the start node to the result node representing the sort result, representing the expiration of the sensor data classification process, and / or identifying those nodes are directly connected by edges constituting a continuous path from the start node to the result node representing the sort
- the inventive method can be carried out by means of a data processing device which controls the display device.
- the object is therefore further achieved by a computer program with program code, in the execution of which a method according to the invention is carried out by means of a data processing device which controls a display device.
- Another object of the present invention is a physical disk on which a computer program according to the invention is stored.
- the object is further achieved by a system for determining a sorting result for a value document using sensor data for the value document, which can be detected or recorded by means of a value-document processing device with one or more sensors, and by predetermined classification parameters, with a data processing device and with an Art Seaeeiricardi, wherein the data processing device comprises at least one processor and a memory in which a computer program according to the invention is stored, which is executable by the data processing device, wherein the at least one processor controls the display device.
- the data processing Device executes the program using the at least one processor, which also controls the display device directly or by means of at least one intermediate graphics processor.
- the data processing device can have one or more processors which have one or more cores.
- the system in particular the data processing device, can be a separate system from a value document processing device, by means of which the sensor data are acquired.
- the method according to the invention can be carried out by means of a value-document processing device which comprises the display device.
- the system according to the invention can then be part of a device for processing value documents.
- the subject matter of the present invention is therefore also a device for processing documents of value with a delivery direction for feeding individual or individual value documents to be processed, an output device having at least one output section for receiving processed documents of value, a transport device for transporting individual or individual documents of value Feeding device to the output device, a sensor device for detecting sensor data for a transported by the transport value document, as well as connected to the sensor sor planted via a signal connection inventive system for determining a sorting result for processing the detected sensor data.
- At least the data processing device preferably the system, in certain operating modes also functions as a control and evaluation device which controls the transport device. controls.
- the method according to the invention can also take place, in particular, after completion of the processing, for example sorting, of value documents and on the basis of sensor data which were acquired and stored during the previous processing of value documents.
- the method uses a predetermined classification method which requires the sensor data and the given classification parameters as input data.
- the classification parameters are adaptable, but fixed for the duration of the respective execution of the classification method and preferably stored in a memory of the data processing device.
- the classification method is also predetermined and preferably carried out on the value-document processing device.
- the classification method comprises a plurality of sub-steps, in each of which a result is determined and / or a decision is made.
- a classification parameter is used in a sub-step in which only one result is determined, it is sufficient that this enters into the determination of the result, a decision need not be connected with it directly.
- a value for a feature of the value document can be determined as the result, which can then be used in the following sub-steps.
- the value document feature can in particular describe a predetermined property of the value document.
- the value document feature can be relevant in particular for determining the classification result.
- stored run data that describe which of the sub-steps, preferably with what result or what decision, were performed.
- the invention provides that the display device, for example a monitor, is preferably activated as a function of the stored history data such that it displays at least one section of a directed graph.
- the data processing device can generate corresponding display data using the history data, which are used to control the display device.
- the graph serves to illustrate possible sequences of the classification and / or the sequence of the classification, ie the sequence of partial steps, for the given sensor data.
- Each sub-step may be assigned a node in the graph that represents the sub-step.
- the graph also has edges, each connecting at least two nodes.
- edges are predefined so that they connect the nodes in such a way that, together with the nodes connected by them, they represent a sequence of sub-steps represented by the classification process given by the classification method.
- one edge can each connect two nodes, which represent sub-steps, of which a second of the sub-steps is executed according to the predetermined classification method after the other, first sub-step, and the edge from the node representing the first of the sub-steps to the second directed to the sub-step representing nodes; This is the case in particular if the second sub-step uses the result of the first sub-step and can only be executed if the result of the first sub-step is known.
- the flow of the classification process for the specific sensor data for the value document is represented by a path in the graph which leads from the start node to the result node representing the sort result. It is formed by nodes which are connected by edges and represent sub-steps performed in the performance of the classification process, and the corresponding edges connecting the nodes.
- a path in the graph which leads from the start node to the result node representing the sort result. It is formed by nodes which are connected by edges and represent sub-steps performed in the performance of the classification process, and the corresponding edges connecting the nodes.
- edges can be identified which form the continuous path from the start node to the result node representing the sort result, which represents the sequence of the classification process for the sensor data.
- the axize device may also be additionally controlled to show other nodes and edges representing substeps that would be performed in carrying out the classification process for other sensor data. This allows an overview of the possible process variants in the
- edges only those edges can be shown which form the continuous path from the start node to the result node representing the sort result, which represents the sequence of the classification procedure for the sensor data.
- all nodes or only by the nodes connected by the edges are displayed. This presentation is characterized by the fact that it illustrates only the absolutely necessary information and therefore is very clear.
- those nodes may be identified that are directly connected by edges forming a continuous path from the start node to the result node representing the sort result, which represents the flow of the sensor data classification process. In this case, too, a good overview of the possible process variants of the classification procedure can be obtained.
- the display device it is preferable for the display device to be actuated in such a way that at least the classification parameters used to determine the sorting result are displayed, preferably at the nodes of the route which are displayed during the execution of the sub-step corresponding to the sub-step.
- This representation advantageously makes it possible for the user to obtain a quick overview of the dependencies of the respective result of the substep from the classification parameters.
- the display device is activated in such a way that adjacent to at least one of the sub-step nodes, the result of the execution of the sub-step represented by the sub-step node is displayed.
- the marking of the edges and / or nodes can be done in different ways, the alternative embodiments described below can be used alone or in combination. According to one embodiment, it is preferred that in the method, the display device is controlled so that the marked edges or the designated nodes are marked in color. With appropriate choice of color, a particularly striking presentation of the way can be achieved.
- the display device is controlled so that marked edges are displayed with a predetermined line shape, which differs from the line shape used to display other edges or from the line shapes used to display other edges.
- the result of the substep is displayed. This allows a very detailed tracking of the procedure.
- the display device it is preferable for the display device to be controlled in such a way that the display is updated after the execution of in each case one sub-step or in each case a predetermined number of sub-steps, so that the part of the route corresponding to the sub-steps carried out so far is displayed, preferably the Type of display of the part of the route corresponds to the way of displaying the route.
- each execution of the classification process are interrupted until an input of a user via a, preferably connected to the data processing device or contained in this input device is detected ,
- the classification parameter used is stored in a memory device. This allows later use of the classification parameters.
- This embodiment is particularly preferred when combined with the embodiment of the method in which at least one user input is detected after completion of the classification process for the sensor data for the value document, and if this represents a value for one of the classification parameters, this value for the classification parameter is stored and the classification process with the then existing or stored classification parameters and the driving of the display device are performed. This allows for interactive setting of classification parameters.
- the data used in its execution can preferably be stored in a memory device for at least one of the sub-steps carried out.
- FIG. 1 shows a schematic view of a value-document processing device in the form of a banknote sorting device
- FIG. 2 is a simplified flow diagram of a first embodiment of a means of the device in Fig. 1 durc_hzhoubaren method for determining a sorting result
- FIG. 3 shows a display on a display device of the device in FIG. 1 in carrying out the method in FIG. 2, FIG.
- FIG. 4 shows a display on a display device of the device in FIG. 1 when a second exemplary embodiment of a method for determining a sorting result which can be carried out by means of the device in FIG. 1 is carried out,
- FIG. 4 shows a display on a display device of the device in FIG. 1 when a second exemplary embodiment of a method for determining a sorting result which can be carried out by means of the device in FIG. 1 is carried out
- FIG. 5 shows a display on a display device of the device in FIG. 1 in the execution of a third exemplary embodiment of a method for determining a sorting result which can be carried out by means of the device in FIG. 1, FIG.
- FIG. 6 shows a simplified flow chart of a fourth exemplary embodiment of a method for determining a sorting result, which method can be carried out by means of the apparatus in FIG.
- a value-document processing apparatus 10 in FIG. 1 in the example an apparatus for processing value documents 12 in the form of banknotes, is designed for sorting value documents as a function of the recognition of the authenticity and the status of processed value documents.
- the components of the device described below are arranged in a housing of the device, not shown, or held on this, as far as they are not referred to as external.
- the device has a feed device 14 for feeding value documents, an output device 16 for receiving processed, ie sorted value documents, and a transport device 18 for transporting isolated value documents from the feed device 14 to the output device 16.
- the feed device 14 comprises an input pocket 20 for a value document stack and a singler 22 for singling value documents from the value document stack in the input pocket 20 and for feeding the singled value documents to the transport device 18.
- the output device 16 comprises three output sections 24, 25 and 26, in which processed value documents can be sorted according to the result of the processing.
- each of the sections comprises a stacking tray and a stacking wheel, not shown, by means of which added value documents can be stored in the stacking tray.
- the transport device 18 has at least two, in the example three branches 28, 29 and 30, at the ends of each of the output sections 24 and 25 and 26 is arranged, and at the branches over Control signals controllable switches 32 and 34, by means of which value documents in response to control signals to the branches 28 to 30 and thus the output sections 24 to 26 can be fed.
- a sensor device 38 is arranged which measures physical properties of the value documents during the transport of value documents forms the measurement results reproducing sensor signals.
- the sensor device 38 has three sensors, namely, an optical reflectance sensor 40 which detects a remission color image and a remission IR image of the value document, an optical transmission sensor 42 which detects a transmission color image and a transmission IR image of the value document. and a transmission ultrasonic sensor 44 which detects spatially resolved UlttaschaUtiansmissionseigenschaften the value document and is hereinafter referred to simply as an ultrasonic sensor for the sake of simplicity.
- the sensor signals formed by the sensors correspond to sensor data or raw data of the sensors which, depending on the sensor, may already have undergone a correction, for example as a function of calibration data and / or noise properties.
- the value document processing device 10 has an input / output device.
- this comprises a display device 46, for example an LCD display, and for input as output device 47 a keyboard 47.1 and a pointing device 47.2, for example a mouse.
- a touch-sensitive display device for example a mouse.
- a data processing device 48 serves as a control and evaluation device 48. It is connected via signal connections to the sensor device 38, the display device 46, the issuing device with keyboard 47 and page device 47 'and the transport device 18, in particular the points 32 and 34.
- a data interface 50 is connected to the data processing device or control and evaluation device 48, by means of which the control and evaluation device 48 can read data records from an external device
- the data interface 50 has a USB interface with a USB interface. Connection via which data from an external storage device 60, in the example a USB storage medium, can be read and / or written to ..
- the data processing device 46 with the A-rizeige Rhein 48 and the input device 47 with keyboard 47.1 and pointing device 47.2 forms A system for determining a sorting result for a value document using sensor data for the value document, which are detectable or detected by means of a value-document processing device with one or more sensors, and of predetermined classification parameters.
- the control and evaluation device or data processing device 48 has to evaluate the sensor data and control of the devices of the device in particular next to corresponding, not shown in the figures, data interfaces for the sensor device 38 and their sensors via a processor 52 and connected to the processor 52 memory 54, in which at least one computer program with program code is stored, in the execution of which the processor 52 controls the device.
- the value-document processing device 10 further has a measurement data memory 56 connected to the processor 52, in which, among other things, sensor data can be stored that has been acquired for processed value documents.
- the measurement data memory 56 may be part of the control and evaluation device 48, as shown in FIG. 1, or separated from it. This measurement data memory is in this embodiment a non-volatile memory, for example a hard disk.
- the control and evaluation device, ie data processing device 48 controls the input / output device 46, inter alia for displaying operating data, and records via this operating data corresponding to inputs of an operator.
- the value-document processing device 10 is designed to be operated in two operating modes, a sorting mode for sorting value documents depending on their condition and their authenticity, and an analysis mode in which sensor data acquired and stored for a value document is stored were able to determine a sorting result and its occurrence can be checked.
- the data processing device or control and evaluation device 48 and in particular the computer program is designed accordingly.
- the sorting mode value documents are separated from the feed device and transported past or through the sensor device 38.
- the sensor device 38 detects or measures physical properties of the value document respectively transported past it or through it and forms sensor signals or sensor data which describe the measured values for the physical properties.
- the control and evaluation device 48 performs a predefined classification method, wherein, depending on the sensor data of the sensor device 38 for a value document and of classification parameters stored in the evaluation device for the value document, a class representing a sorting result, depending on the specification, one of predetermined state and / or authenticity classes determined. Depending on the sorting result, it controls the transport device 18, in this case more precisely the points 32 and 34, by issuing control signals in such a way that the document of value, in accordance with its class determined in the classification or the sorting result determined, enters one of the class Sorting result associated output section of the output device 16 is output.
- a germination of the value document for example given by the stacking compartment and the position of the value document in a stack therein, the sensor data, the classification parameters and the sorting result for the value document are respectively stored in the measurement data memory 56.
- a computer program is stored in the data processing device 48, more precisely in its memory 52, in its execution by the processor 52, the exemplary embodiment described below for a Method for determining a sorting result for a value document is performed.
- a classification process is performed as also performed by the value-document processing apparatus 10 in the sorting mode.
- the sequence of the classification process is shown schematically on the display device 46 in the manner described below.
- the classification method includes a number of sub-steps, not all of which need to be performed, depending on the classification parameters used and the sensor data used. In these sub-steps results are determined or decisions are made. This is done as a function of at least one part of the sensor data and / or at least one result of a previously performed substep and / or at least one classification parameter. Insofar as results are determined, they can in particular be value document features which describe predetermined properties of the value document for which the sensor data are recorded. These value document features or their values or characteristics can influence the course of the classification process.
- a classification method for a value document processing apparatus includes a plurality of substeps and is quite complex.
- the following is based on a greatly simplified classification method in which only one sorting takes place only with respect to the state of the value document and therefore only the classes "rejection”, "executable” and “unfit for use” are used as sorting results.
- only value documents of two value document types can be classified with respect to their state, namely those of the value document type "type 1" and the value document type "type 2".
- only the following partial steps are provided for display on the display device.
- a sub-step Tl is determined whether sensor data for a. Value document which overlaps with at least one further value document.
- Such constellations can result if, when singling value documents, two superimposed value documents are not or not completely separated. They are also referred to as "multiple deduction”.
- sensor data of the ultrasonic transmission sensor are used for this purpose.
- a multiple print is thus recognized when the transmission resulting from the ultrasonic sensor data is less than a predetermined threshold value SW1 representing an adaptable classification parameter of the calibration process.
- the partial step thus represents a decision with the result "yes” or "no", which depends on the classification parameter SW1 and the sensor data of the ultrasonic sensor.
- a further partial step T2 is the decision as to whether the value document has the value document type "type 1" according to the sensor data.
- the sensor data of the reflectance sensor are used in this embodiment.
- the remission image is searched for predetermined characteristics for value documents of the type "type 1". If more than N2 characteristics are found, it is decided that the value document has the type "Type 1", otherwise not.
- the value of N2 is also a classification parameter of the Classification method. Further, the substep results in a result for the value document type of the value document, which can be used in the following substeps.
- a substep T3 is the decision as to whether the value document has the value document type "type 2" according to the sensor data.
- the sensor data of the reflectance sensor are used in this exemplary embodiment.
- the remission image is searched for predetermined characteristics for value documents of the type "type 2". If more than N3 characteristics are found, it is decided that the value document has the type "Type 2", otherwise not.
- the value of N3 is also a classification parameter of the classification method.
- the substep results in a result for the value document type of the value document, which can be used in the following substeps.
- the sub-steps T4 to 6 relate in the present embodiment tests, if there are errors that preclude another round. The presence of the respective error leads to the result "YES”, otherwise the result "NO" is determined.
- a sub-step T4 concerns the decision as to whether an adhesive strip is present on the value document according to the sensor data.
- the sensor data of the ultrasonic sensor are used. It is checked whether the sensor data of the ultrasonic sensor for a strip-shaped area results in an ultrasonic transmission that falls below a predetermined threshold value SW4. If this is the case, the presence of an adhesive strip is assumed. The result of sub-step T4 is thus the result "YES” if an adhesive strip is present, and "NO” otherwise.
- a sub-step T5 relates to the decision as to whether the value document is limp according to the sensor data. The sensor data of the ultrasonic sensor are used for this purpose.
- a sub-step T6 concerns the decision as to whether the value document is too heavily contaminated.
- the sensor data of the optical reflectance sensor more precisely a digital color image, the sensor data of the optical transmission sensor and the determined value document type are used.
- the number of contamination pixels is determined; Dirty pixels are those pixels of the digital image for which the color or color coordinates resulting from the remission image for the respective pixel of the value document differ by more than a predetermined distance ⁇ according to a predetermined criterion of color coordinates specified for the pixel and the value document type. If the number exceeds a limit value N6, excessive contamination is assumed and the result is a "YES" if there is a contamination, otherwise a "NO".
- the substeps are not performed in any order.
- the possible sequences are determined by the classification method, the specific order for sensor data for a specific value document by the classification method, the sensor data and the classification parameters. This will be described in more detail below.
- FIGS. 2 and 3 show a rough flow diagram of the method.
- the data processing device 48 controls the display device 46 so that it displays an input field into which a user can enter an identifier of the value document as stored in association with the sensor data.
- the identifier identifies a value document for which sensor data is stored in the measured value memory 56. It then detects signals from the input device 47 or 47.1, 47.2, which represent an identifier entered by the user.
- step S12 the data processing device 48 then carries out the classification process with the sensor data and classification parameters stored in the mass memory 56 for the value document and determines the corresponding sorting result. During the execution of the classification process, it stores history data which describe which of the substeps were performed with which result or which decision.
- step S14 the data processing device 48 activates the display device 46 to display, depending on the determined historical data, a graph which represents the classification procedure carried out. provides.
- the display of the graph on the display 46 is shown in FIG.
- the graph is determined by the classification method used. It has nodes and edges connecting two nodes each.
- the nodes comprise a start node, sub-step nodes, and result nodes representing a possible sort result.
- the starting node A represents the starting point of the classification by means of the classification process.
- the result nodes Zi, Z 2 , Z3 respectively represent the end of the performance of the classification process and the possible sorting results "rejection", "unfit” and "executable”.
- the partial step nodes T1, T2,..., T6 are identified by reference numerals, which are also the designations of the partial steps which they represent and which are described above.
- the nodes may also be represented by text alone in other embodiments.
- the graph has edges which connect nodes such that, together with the nodes connected by them, they represent a sequence of substeps represented by the nodes given by the classification process. This means that not every node is connected to every other node, but the presence of an edge between two nodes is determined by the classification method.
- a reference symbol K is shown for only one edge.
- sub-step T1 represents a decision, at least two go from the node representing it Edges out.
- the one edge leads directly to the result node Zi "rejection", since a different classification is not meaningfully possible if a multiple deduction is found.
- the other edge which is the decision that no multiple deduction exists, leads to the sub-step node T2.
- Other possibilities of carrying out the method after execution of sub-step T1 are not provided for in the classification method.
- sub-step T2 Based on the sub-step T2, in which it is checked whether the value document has the value document type "type 1", two sub-steps can be performed. If the value document type "Type 1" has not been recognized, sub-step T3 can be carried out. Therefore, one edge connects the corresponding nodes T2 and T3. If, on the other hand, the value document type "type 1" is recognized, sub-step T4 is executed first. Accordingly, one edge connects the nodes T2 and T4. Starting from substep T2, the classification method does not provide any further design variants, so that no further edges exist apart from the already described edges at T3 or T4.
- Each of the steps T4 to T6 can lead to the results that the respective error is present and the result is a "YES” or the error is not present and the result is a "NO".
- the procedure is designed so that the first occurrence of a result "YES” decided to "Not fit". Therefore, edges corresponding to the result of "NO” of these three step nodes each go to the result node Z 2 , which represents the result "Not fit”. If a "NO" is determined as the result in one of the substeps T4 or T5, ie if a sufficient error was not found, the method is continued with the next substep T5 or T6. If a "NO” is also determined at T6, the sorting result "executable 11 is determined so that an edge leads from the region of the partial step node T6 corresponding to the result” NO "to the result node Z 3 .
- edges of these sub-step nodes only lead to sub-step node T7, which corresponds to sub-step T7, in which a decision is made as a function of the results of sub-steps T4 to T6 as to whether the sorting result "executable" or "non-executable "is. Accordingly, two edges originate from the partial step node T7, which lead to the corresponding result nodes Z 2 and Z 3 .
- classification parameter fields Pi,..., P 6 Adjacent to the sub-step nodes of sub-steps in which classification parameters are used, classification parameter fields Pi,..., P 6 are shown, in which the classification parameters respectively used in the sub-step are shown with their values.
- the name of the classification parameters corresponds to the name used above.
- result fields E to E 6 are shown at predetermined edges in the example, in which show the performed during the implementation of the corresponding sub-step.
- edges, classification parameter fields and result fields corresponding data are stored in the computer program or a corresponding configuration file, which are assigned to the classification method. If the classification procedure is changed, these may need to be adjusted.
- standard colors and shapes are given for nodes and standard colors and thicknesses for the edges.
- configuration data are stored in the computer program or the configuration file, which represent a special color for traversed nodes and special line thicknesses for traversed edges.
- the data processing device 48 uses the history data determined during the execution of the classification method, which describe which of the sub-steps were performed with which result or decision. It determines display data at least partially defining the display to be displayed and the graph to be displayed, depending on the process data and the classification parameters, and controls the display in accordance with the display data so as to display the above-described graph.
- the edges constituting a continuous path from the start node to the result node representing the sort result, which represents the flow of the sensor data classification process are indicated by the special stroke thickness which is larger than the stroke width to represent the other edges.
- nodes are specially marked by representation in the spot color directly connected by edges which are one continuous way from the start node to which the sort result representing result nodes constitute, which represents the flow of the classification process for the sensor data.
- These nodes represent the partial steps performed. This is illustrated in FIG. 3 by a dotted background.
- These nodes are also uniquely described by the history data which describe which of the substeps were performed with which result or which decision.
- FIG. 3 shows the case that a sorting result is or were determined for sensor data for a value document of the value document type "type 2". Since there is no multiple deduction, the partial steps Tl, T2, T3, T4 and T5 are first passed through. In T5 too much limpness and thus the result "YES" is determined. This leads directly to the result "Not fit for use", characterized by the result node Z 2 . Sub-step T6 is no longer executed; Accordingly, the result field ⁇ remains empty. The path through the graph therefore runs from A via Tl to T5 to Z 2 . At first glance, it can be seen that the result is due to excessive limpness.
- the data processing device 48 after detecting a corresponding input signal as a result of an input of a user by means of the emitter 47 or 47.1, 47.2 store the data describing the graphic.
- a second embodiment differs from the first exemplary embodiment only in that the activation of the display device is modified in such a way that only the starting node, the partial steps corresponding partial step nodes and the result nodes are shown, in order to increase the clarity.
- the display for the same sensor data and classification parameters on which FIG. 3 is based are also used here, so that the illustration shown in FIG. 4 results.
- a third exemplary embodiment of a method for determining a sorting result differs from the first exemplary embodiment in that steps T4 to T6 are replaced by steps T4 'to T6' and an additional step T7 1 is carried out.
- An example of a display generated upon execution of the method is shown schematically in FIG.
- the step T4 1 differs from the step T4 only in that, as a result of the check for the presence of adhesive tape, it is not determined “YES” or "NO", but a detected area of an adhesive tape relative to the area of the value document. Since no decision is made on which the further processing could take place differently, only one edge leads out of the corresponding node.
- step T5 'differs from the step T5 only in that no comparison is made with a threshold and as a result "YES” or "NO” is determined, but the value for later use is stored, which is compared in step T5 with the threshold. Since no decision is made on which the further processing could take place differently, only one edge leads out of the corresponding node.
- the step T6 1 differs from the step T6 only in that a comparison with the limit value N6 is no longer performed and as a result is not determined "YES” or "NO". Instead, as a result, the quotient of the number of contamination pixels and the number of pixels of the digital image of the value document is determined as a result of the substep.
- a comparison with the limit value N6 is no longer performed and as a result is not determined "YES” or "NO". Instead, as a result, the quotient of the number of contamination pixels and the number of pixels of the digital image of the value document is determined as a result of the substep.
- only one edge leads out of the node, since no decision is made on which the further processing could take place differently.
- step T7 ' an overall result for the state is obtained by multiplying and adding the results of steps T4' to T6 'with classification parameters A4, A5 and A6. The sum is then compared with a threshold value SW7 ', which also represents a classification parameter. If the sum exceeds the threshold, it is decided that the sorting result is the class "Not fit", otherwise the class
- the initial node A, the nodes corresponding to the sub-steps performed, and the result node corresponding to the sort result are indicated by puncturing, the corresponding path by the increased line width of the edges connecting the nodes.
- the data processing device 48 controls the 46 is then displayed so that a graph as sketched in FIG. 5 for the sensor data of the case in FIG. 3 is displayed.
- a fourth embodiment of a method for determining a sorting result which is sketched in FIG. 6, differs from the first exemplary embodiment in that steps S16 and S18 are performed after step S14.
- the computer program stored in the data processing device 48 is modified accordingly.
- step S16 the data processing device 48 acquires input signals from the input device 47, ie keyboard 47.1 and / or pointing device 47.2, representing inputs of a user that either represent at least one changed classification parameter or a confirmation that the changed classification parameters are to be stored.
- the last valid classification parameters are updated according to the inputs and the process proceeds to step S12.
- step S18 If, however, an acknowledgment is detected, the current classification parameters are stored in step S18.
- This embodiment allows an interactive adaptation of classification parameters.
- sub-steps may be subdivided into several sub-steps in order to better understand the conclusion of the result.
- embodiments differ from the previously described exemplary embodiments in that the display device is activated in such a way that the edges on the way from the start node to the result node are not identified by another line thickness but by another color. Still other embodiments differ from the previously described embodiments in that the performing of the classification method and the driving of the display device are interleaved such that, after performing a substep, the display device is driven so as to be current as in the previously described embodiments of the sequence of the classification method and after the detection of a continuation signal from the issuing device, which represents a continuation request of a user, proceeds to the next sub-step.
- Still other embodiments may differ from the embodiments described above in that, depending on the used data processing device and computer program sub-steps whose execution can be performed independently of each other, for. B. in the fourth embodiment, the sub-step T4 'to T6', at least partially performed in parallel.
- the path from the starting node A to the result node may then have parallel sections. These are characterized in that they start at a common node for a sub-step and end at a common node for a sub-step and each have at least one different sub-step node.
- Still other exemplary embodiments differ from the exemplary embodiments described above in that the system for determining a sorting result for a value document using sensor data for the value document, in particular the data processing device, is not part of the value-document processing device, but instead a separate device.
- a system in FIG. 7 comprises a data processing device 60, an axize device 64 connected to the data processing device 60 via a signal connection 62 and controllable by the latter, and an output device 66 also connected to the data processing device via at least one signal connection.
- the display device 64 for example an LCD display or an LCD monitor, is actuated by the data processing device 60 so that it displays certain contents by the data processing device 60.
- Binding signal connection can serve any suitable connection, such as a cable.
- the output device 66 is used for detecting inputs of a user and has, according to the first exemplary embodiment, in this exemplary embodiment, a keyboard 68 and a pointing device 70, in the example a mouse, by means of which and the verarbeihmgs worn 60 on the display device 64, a pointer can be displayed. Both the keyboard 68 and the pointing device 70 are connected via signal connections, in the example wired USB connections, to the data processing device 60, so that these inputs of a user can detect corresponding signals.
- the data processing device 60 includes, inter alia, at least one processor 72 with associated, not shown, main memory and a memory device 74.
- the memory device 74 may, in particular, comprise a permanent memory, for example a hard disk, and main memory.
- the data processing device 60 furthermore has an interface 76 connected to the at least one processor via a signal connection, with which an external memory device 78, for example an external computer or server, can be connected via a signal connection suitable for the interface.
- the interface 78 is a network card, by means of which a value-document processing device is connected to the data processing device 60 via a LAN connection, so that sensor data for the value document can be transmitted to the data processing device 60 and stored there for use in the memory device 74 ,
- the memory device 74 in the example more precisely in the persistent memory, among other things computer program is stored, in the processing of which by the data processing device 60, more precisely the at least one processor 72, one of the previously described methods for determining a sorting result is executed.
- the sensor data, classification parameters and the identifier for a respective value document are then not read from the measured value memory 56 during the execution of the method but from the memory device 74.
- Still other embodiments differ from the previously described embodiments in that for the sub-steps performed, the data used in their implementation are stored in a memory device.
Abstract
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DE102014003005.9A DE102014003005A1 (en) | 2014-02-28 | 2014-02-28 | Method for determining a sorting result for a value document and means for carrying out the method |
PCT/EP2015/000448 WO2015128089A1 (en) | 2014-02-28 | 2015-02-26 | Method for determining a sorting result for a security document and means for carrying out the method |
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DE102019005656A1 (en) * | 2019-08-12 | 2021-02-18 | Giesecke+Devrient Currency Technology Gmbh | Method and device for checking documents of value |
DE102020006202A1 (en) * | 2020-10-08 | 2022-04-14 | Giesecke+Devrient Currency Technology Gmbh | Method for processing value documents and value document processing system |
DE102020006203A1 (en) * | 2020-10-08 | 2022-04-14 | Giesecke+Devrient Currency Technology Gmbh | Method for processing value documents and value document processing system |
CN114915639B (en) * | 2022-05-06 | 2024-04-05 | 华润新能源(阜新)风能有限公司 | Method, device, electronic equipment and medium for analyzing message of power dedicated scheduling channel |
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WO1999023601A1 (en) * | 1997-10-31 | 1999-05-14 | Cummins-Allison Corp. | Currency evaluation and recording system |
US7856116B2 (en) * | 2004-11-09 | 2010-12-21 | Digimarc Corporation | Authenticating identification and security documents |
DE102006033001A1 (en) | 2006-07-17 | 2008-01-24 | Giesecke & Devrient Gmbh | Method for assessing a condition of a value document in terms of limpness and means for carrying out the method |
DE102006033000B4 (en) | 2006-07-17 | 2012-05-31 | Hewlett-Packard Development Co., L.P. | Mobile phone with sensor-controlled speaker and microphone activation |
JP5474492B2 (en) | 2009-11-05 | 2014-04-16 | グローリー株式会社 | Banknote deposit device |
US8595709B2 (en) * | 2009-12-10 | 2013-11-26 | Microsoft Corporation | Building an application call graph from multiple sources |
US8949210B2 (en) | 2010-05-13 | 2015-02-03 | Microsoft Corporation | Analysis stack for complex event flows |
US9979995B2 (en) * | 2013-09-30 | 2018-05-22 | Google Llc | Visual hot watch spots in content item playback |
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EP3111426B1 (en) | 2021-08-25 |
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