CN107895424B - Paper money identification method and system and financial terminal - Google Patents
Paper money identification method and system and financial terminal Download PDFInfo
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- CN107895424B CN107895424B CN201711048400.XA CN201711048400A CN107895424B CN 107895424 B CN107895424 B CN 107895424B CN 201711048400 A CN201711048400 A CN 201711048400A CN 107895424 B CN107895424 B CN 107895424B
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- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
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Abstract
The embodiment of the application is suitable for the technical field of financial equipment, and provides a method and a system for identifying paper money and a financial terminal, wherein the method comprises the following steps: when the paper money passes through the money detecting module, a Charge Coupled Device (CCD) acquires a paper money image; dividing the paper money image to obtain at least one quantization region of the paper money image; acquiring a signal corresponding to each quantization region, and storing the signal; and identifying the paper money according to the signal. In the process, the paper money image of the whole paper money is obtained through the CCD, the identification of the paper money is realized according to the signal of each quantization area after the paper money image is quantized, not only can the authenticity of the paper money be identified, but also the abrasion degrees of different parts of the paper money can be identified by combining the paper money image and the difference degree of the signals of the quantization areas and a standard value.
Description
Technical Field
The embodiment of the application belongs to the technical field of financial equipment, and particularly relates to a method and a system for identifying paper money and a financial terminal.
Background
Paper money is indispensable in life of people, and the authenticity of the paper money naturally becomes a concern of people. With the continuous development of scientific technology, various financial devices continuously enter people's lives, and the currency detection module of the financial device is the core module of the financial device, especially for self-service financial devices. At present, Contact Image Sensor (CIS) technology is mostly adopted in a banknote checking system of financial equipment to identify banknotes and judge the authenticity of the banknotes, but the CIS technology is high in cost, can only identify whether the banknotes can be traded or not, and cannot identify the abrasion condition of the banknotes.
Disclosure of Invention
In view of this, embodiments of the present application provide a method, a system, and a terminal device for identifying paper money, so as to solve the problems that when the existing financial device identifies paper money, the cost of a money detecting module is high, and the wear condition of the paper money cannot be effectively identified.
A first aspect of an embodiment of the present application provides a method for identifying a banknote, including:
when the paper money passes through the money detecting module, a Charge Coupled Device (CCD) acquires a paper money image;
dividing the paper money image to obtain at least one quantization region of the paper money image;
acquiring a signal corresponding to each quantization region, and storing the signal;
and identifying the paper money according to the signal.
A second aspect of an embodiment of the present application provides a banknote recognition system, including:
the paper money image acquisition unit is used for acquiring a paper money image through the charge coupled device and the CCD when the paper money passes through the money detection module;
the dividing unit is used for dividing the paper money image to obtain at least one quantized region of the paper money image;
the signal value acquisition unit is used for acquiring a signal corresponding to each quantization region and storing the signal;
and the identification unit is used for identifying the paper money according to the signal.
A third aspect of embodiments of the present application provides a financial terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of any one of the methods of identifying banknotes when executing the computer program.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of any one of the methods of controlling the microphone.
In the embodiment provided by the application, when the paper money passes through the money detecting module, the paper money image is obtained through the CCD, and a plurality of quantization areas are obtained after the paper money image is divided so as to quantize the paper money image; and acquiring a signal corresponding to each quantization region, and identifying the paper money according to the signal of each quantization region. In the process, the CCD is arranged on the paper money recognition module, so that the cost of paper money recognition is reduced, in addition, the paper money image of the whole paper money is obtained through the CCD, the identification of the paper money is realized according to the signal of each quantization area after the paper money image is quantized, not only can the authenticity of the paper money be recognized, but also the abrasion degrees of different parts of the paper money can be recognized by combining the paper money image and the difference degree of the signals of the quantization areas and the standard value.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the embodiments or drawings used in the prior art description, and obviously, the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a banknote recognition method according to an embodiment of the present disclosure;
fig. 2 is a block diagram of a banknote recognition system according to a second embodiment of the present application;
fig. 3 is a schematic diagram of a terminal device provided in the third embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
According to the method for identifying the paper money, when the paper money passes through a money detecting module of financial equipment, a paper money image is obtained through a charge-coupled device (CCD) arranged in the paper money image, the obtained paper money image is divided to obtain a plurality of quantization areas, and then the current paper money is identified according to signals of each quantization area.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
The first embodiment is as follows:
fig. 1 shows a schematic flow chart of an implementation of a banknote identification method provided in an embodiment of the present application, which is detailed as follows:
step S11, when the paper currency passes through the currency examination module, the CCD acquires the paper currency image through the charge coupled device;
in the embodiment provided by the application, a CCD is arranged in a money detection module of a financial terminal in advance, wherein the CCD is an area array CCD. When paper money passes through the paper money detection module, a paper money image is projected onto an imaging plane formed by parallel arrays in the paper money detection module, and a photosensitive element array on the area array CCD absorbs photo-generated charges within exposure time to obtain the paper money image, and the paper money image is converted into a paper money image represented by pixel values.
For example, for an area array CCD with a 4 × 4 area array of photosensitive elements, the area array CCD is arranged on a currency detection module of a financial terminal, and when a paper currency enters the currency detection module, an image of the paper currency is projected on an imaging plane formed by parallel arrays of 4 × 4. The photo-generated charges are absorbed by the photosensitive elements thereon during the exposure time to acquire an image of the bill, which is then converted and expressed in pixel values.
Step S12, dividing the paper money image to obtain at least one quantized area of the paper money image;
in the embodiment provided by the application, the banknote image is divided into a series of discrete regions determined by the number of pixels, so that a plurality of quantized regions are obtained, namely, the banknote image is quantized. When the banknote image is divided, the banknote image can be divided into different modules according to preset rules to form different quantization areas. For example, the module can be divided into an area requiring emphasis recognition and an area not requiring emphasis recognition according to the situation, or the module commonly used in the process of recognizing the authenticity of the paper currency can be divided according to the method commonly used in the process of recognizing the authenticity of the paper currency. Of course, the user may set the division rule according to the use of the user for the financial terminal and the actual requirement, and is not limited herein.
Optionally, the dividing the banknote image to obtain at least one quantized region of the banknote image includes:
acquiring a preset characteristic area and a non-characteristic area of the paper money;
and dividing the banknote image according to the characteristic region and the non-characteristic region to obtain a quantized characteristic region and a quantized non-characteristic region.
Specifically, when the banknote image is divided, the banknote image can be divided into a characteristic area and a non-characteristic area, wherein the characteristic area comprises an area where a pattern or other anti-counterfeiting marks on the banknote printed by a special process for realizing the anti-counterfeiting function of the banknote image are located when the banknote is printed, such as a flower pattern on the banknote, a specific position pattern on the back of the banknote, a crown word area, a banknote denomination digital pattern and the like. The non-feature region includes a region on the banknote image outside the feature region. And (4) counting the pixel value of each divided region to realize the quantization of the banknote image.
Step S13, acquiring a signal corresponding to each quantization region and storing the signal;
in the embodiment provided by the application, for a quantized banknote image, the signal of each quantization region is acquired in a column (or row) form, the signal of each column (or each row) is transferred to a serial register in a parallel mode, then the serial CCD transfer register transfers the signal in a serial data stream mode, and the signal of each column (or each row) is stored, so that the signal of each quantization region is obtained.
Alternatively, when transferring and storing signals of each column (or each row), the number of columns (or rows) included in each quantization region may be determined first, then signals are transferred and stored from the first column (or the first row) at one end of the region, and after transferring and storing the signals of the first column (or the first row) is completed, signals of all columns (or all rows) in the whole quantization region are transferred and stored in sequence.
For example, when the quantization region is the region where the crown word is located, the number of columns included in the quantization region where the crown word is located is acquired, and the signal of the region is transferred and stored from the first column until the signal of the entire quantization region is transferred and stored.
Further, the acquiring a signal corresponding to each quantization region and storing the signal includes:
acquiring a column signal of each quantized characteristic region and a column signal of each quantized non-characteristic region;
summarizing the column signals of each column in the quantized feature region to obtain signals of the quantized feature region;
summarizing the column signals of each column in the quantized non-characteristic area to obtain signals of the quantized non-characteristic area;
and storing the signals of the characteristic region and the signals of the non-characteristic region after amplification.
Specifically, when the column signals of the quantization regions are acquired, the signals of each column in each region can be acquired according to the determined characteristic region and non-characteristic region of the banknote image. For example, for a certain feature region, acquiring signals of each column in the quantized feature region, transferring the signals of the column to a serial register in a parallel mode, then transferring and outputting the signals to a photosensitive signal output amplifier by a serial CCD transfer register in a serial data stream mode to amplify weak signals by a preset multiple, storing the amplified signals of the column to a preset position, and acquiring and storing the signals of each column in the feature region in the same mode. Similarly, the signal of each quantized non-characteristic region is stored.
And step S14, identifying the paper money according to the signal.
In the embodiment provided by the application, when the paper money is identified according to the stored signals, the signals of the preset quantization region can be compared with the corresponding standard values, and if the coincidence degree of the signals and the standard values reaches the preset coincidence degree, the current paper money is considered as the identifiable paper money. In addition, the degree of abrasion of the paper money can be accurately determined according to the degree of difference between the signal of the quantization area and the corresponding standard value. For example, when the difference between the signal of a certain quantization area and the corresponding standard value is judged to exceed the preset value, the abrasion degree of the area corresponding to the paper money is judged to be serious.
Optionally, said identifying said banknote from said signal comprises:
judging whether the signal of the characteristic region is in a corresponding first preset signal interval or not;
when the signal of the characteristic region is in a corresponding first preset signal interval, judging whether the signal of the non-characteristic region is in a second preset signal interval;
if yes, the paper money is judged to be recognizable paper money.
Specifically, when the paper money is identified according to the stored signals, whether the signals of each quantized characteristic region are in the corresponding first preset signal interval or not can be judged firstly; the characteristic region comprises a special mark for identifying the authenticity of the paper currency, so that when the signal of each quantized characteristic region is in the corresponding first preset signal interval, the paper currency is indicated to be genuine; and then judging whether the signal of each quantized non-characteristic area is in a second preset signal interval corresponding to each quantized non-characteristic area, if so, indicating that the paper money is recognizable real paper money, and continuously circulating.
Optionally, if there is a quantized non-characteristic region where the signal does not fall in the corresponding second predetermined signal interval, it is determined that the banknote is an unidentifiable banknote, because some regions may be worn to a serious extent and the banknote may no longer be circulated.
Optionally, after said identifying the banknote according to the signal, comprising:
and sending the identified crown word number of the paper currency and the paper currency image to a server, and recording and storing the paper currency identification result according to the crown word number.
Specifically, after the paper currency is identified as identifiable paper currency or non-identifiable paper currency, the crown word number of the paper currency is determined according to the characteristic area containing the crown word number of the paper currency, and the crown word number of the paper currency, the paper currency image of the paper currency and the identification result are correspondingly stored in the server so as to record the circulation state of the paper currency. In addition, the paper money images are stored in the server together, so that the user can call the paper money images according to the crown word numbers at any time when needed, and the abrasion condition of each part of the paper money can be visually seen according to the paper money images.
In the embodiment provided by the application, when the paper money passes through the money detecting module, the paper money image is obtained through the CCD, and a plurality of quantization areas are obtained after the paper money image is divided so as to quantize the paper money image; and acquiring a signal corresponding to each quantization region, and identifying the paper money according to the signal of each quantization region. In the process, the CCD is arranged on the paper money recognition module, so that the cost of paper money recognition is reduced, in addition, the paper money image of the whole paper money is obtained through the CCD, the identification of the paper money is realized according to the signal of each quantization area after the paper money image is quantized, not only can the authenticity of the paper money be recognized, but also the abrasion degrees of different parts of the paper money can be recognized by combining the paper money image and the difference degree of the signals of the quantization areas and the standard value.
Example two:
fig. 2 shows a block diagram of a banknote recognition system according to an embodiment of the present application, and for convenience of explanation, only the parts related to the embodiment of the present application are shown.
Referring to fig. 2, the recognition system of bills includes: a banknote image acquisition unit 21, a dividing unit 22, a signal acquisition unit 23, and a recognition unit 24, wherein:
the paper money image acquisition unit 21 is used for acquiring a paper money image through a charge coupled device and a CCD (charge coupled device) when the paper money passes through the money detection module;
in the embodiment provided by the application, a CCD is arranged in a money detection module of a financial terminal in advance, wherein the CCD is an area array CCD. When paper money passes through the paper money detection module, a paper money image is projected onto an imaging plane formed by parallel arrays in the paper money detection module, and a photosensitive element array on the area array CCD absorbs photo-generated charges within exposure time to obtain the paper money image, and the paper money image is converted into a paper money image represented by pixel values.
The dividing unit 22 is used for dividing the banknote image to obtain at least one quantization area of the banknote image;
in the embodiment provided by the application, the banknote image is divided into a series of discrete regions determined by the number of pixels, so that a plurality of quantized regions are obtained, namely, the banknote image is quantized. When the banknote image is divided, the banknote image can be divided into different modules according to preset rules to form different quantization areas. For example, the module can be divided into an area requiring emphasis recognition and an area not requiring emphasis recognition according to the situation, or the module commonly used in the process of recognizing the authenticity of the paper currency can be divided according to the method commonly used in the process of recognizing the authenticity of the paper currency. Of course, the user may set the division rule according to the use of the user for the financial terminal and the actual requirement, and is not limited herein.
Optionally, the dividing unit 22 includes:
the first acquisition module is used for acquiring a preset characteristic area and a non-characteristic area of the paper money;
and the quantization module is used for dividing the banknote image according to the characteristic region and the non-characteristic region to obtain a quantized characteristic region and a quantized non-characteristic region.
Specifically, when the banknote image is divided, the banknote image can be divided into a characteristic area and a non-characteristic area, wherein the characteristic area comprises an area where a pattern or other anti-counterfeiting marks on the banknote printed by a special process for realizing the anti-counterfeiting function of the banknote image are located when the banknote is printed, such as a flower pattern on the banknote, a specific position pattern on the back of the banknote, a crown word area, a banknote denomination digital pattern and the like. The non-feature region includes a region on the banknote image outside the feature region. And (4) counting the pixel value of each divided region to realize the quantization of the banknote image.
A signal obtaining unit 23, configured to obtain a signal corresponding to each quantization region, and store the signal;
in the embodiment provided by the application, for a quantized banknote image, the signal of each quantization region is acquired in a column (or row) form, the signal of each column (or each row) is transferred to a serial register in a parallel mode, then the serial CCD transfer register transfers the signal in a serial data stream mode, and the signal of each column (or each row) is stored, so that the signal of each quantization region is obtained.
Alternatively, when transferring and storing signals of each column (or each row), the number of columns (or rows) included in each quantization region may be determined first, then signals are transferred and stored from the first column (or the first row) at one end of the region, and after transferring and storing the signals of the first column (or the first row) is completed, signals of all columns (or all rows) in the whole quantization region are transferred and stored in sequence.
Optionally, the signal obtaining unit 23 includes:
the second acquisition module is used for acquiring the column signal of each quantized characteristic region and the column signal of each quantized non-characteristic region;
the first summarizing module is used for summarizing the column signals of each column in the quantized feature region to obtain the signals of the quantized feature region;
a second summarizing module, configured to summarize column signals of each column in the quantized non-characteristic region to obtain a signal of the quantized non-characteristic region;
and the storage module is used for storing the signal value of the characteristic region and the signal of the non-characteristic region after amplification.
Specifically, when the column signals of the quantization regions are acquired, the signals of each column in each region can be acquired according to the determined characteristic region and non-characteristic region of the banknote image. For example, for a certain feature region, acquiring signals of each column in the quantized feature region, transferring the signals of the column to a serial register in a parallel mode, then transferring and outputting the signals to a photosensitive signal output amplifier by a serial CCD transfer register in a serial data stream mode to amplify weak signals by a preset multiple, storing the amplified signals of the column to a preset position, and acquiring and storing the signals of each column in the feature region in the same mode. Similarly, the signal of each quantized non-characteristic region is stored.
And the identification unit 24 is used for identifying the paper money according to the signal.
In the embodiment provided by the application, when the paper money is identified according to the stored signals, the signals of the preset quantization region can be compared with the corresponding standard values, and if the coincidence degree of the signals and the standard values reaches the preset coincidence degree, the current paper money is considered as the identifiable paper money. In addition, the degree of abrasion of the paper money can be accurately determined according to the degree of difference between the signal of the quantization area and the corresponding standard value. For example, when the difference between the signal of a certain quantization area and the corresponding standard value is judged to exceed the preset value, the abrasion degree of the area corresponding to the paper money is judged to be serious.
Optionally, the identification unit 24 includes:
the first judging module is used for judging whether the signal of the characteristic region is in a corresponding first preset signal interval or not;
the second judging module is used for judging whether the signal of the non-characteristic area is in a second preset signal interval or not when the signal of the characteristic area is in the corresponding first preset signal interval; if yes, the paper money is judged to be recognizable paper money.
Specifically, when the paper money is identified according to the stored signals, whether the signals of each quantized characteristic region are in the corresponding first preset signal interval or not can be judged firstly; the characteristic region comprises a special mark for identifying the authenticity of the paper currency, so that when the signal of each quantized characteristic region is in the corresponding first preset signal interval, the paper currency is indicated to be genuine; and then judging whether the signal of each quantized non-characteristic area is in a second preset signal interval corresponding to each quantized non-characteristic area, if so, indicating that the paper money is recognizable real paper money, and continuously circulating.
Optionally, if there is a quantized non-characteristic region where the signal does not fall in the corresponding second predetermined signal interval, it is determined that the banknote is an unidentifiable banknote, because some regions may be worn to a serious extent and the banknote may no longer be circulated.
Optionally, the banknote recognition system further comprises:
and the sending unit is used for sending the identified crown word number of the paper currency and the paper currency image to a server, and recording and storing the paper currency identification result according to the crown word number.
Specifically, after the paper currency is identified as identifiable paper currency or non-identifiable paper currency, the crown word number of the paper currency is determined according to the characteristic area containing the crown word number of the paper currency, and the crown word number of the paper currency, the paper currency image of the paper currency and the identification result are correspondingly stored in the server so as to record the circulation state of the paper currency. In addition, the paper money images are stored in the server together, so that the user can call the paper money images according to the crown word numbers at any time when needed, and the abrasion condition of each part of the paper money can be visually seen according to the paper money images.
In the embodiment provided by the application, when the paper money passes through the money detecting module, the paper money image is obtained through the CCD, and a plurality of quantization areas are obtained after the paper money image is divided so as to quantize the paper money image; and acquiring a signal corresponding to each quantization region, and identifying the paper money according to the signal of each quantization region. In the process, the CCD is arranged on the paper money recognition module, so that the cost of paper money recognition is reduced, in addition, the paper money image of the whole paper money is obtained through the CCD, the identification of the paper money is realized according to the signal of each quantization area after the paper money image is quantized, not only can the authenticity of the paper money be recognized, but also the abrasion degrees of different parts of the paper money can be recognized by combining the paper money image and the difference degree of the signals of the quantization areas and the standard value.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Example three:
fig. 3 is a schematic diagram of a financial terminal according to an embodiment of the present application. As shown in fig. 3, the financial terminal 3 of this embodiment includes: a processor 30, a memory 31 and a computer program 32 stored in said memory 31 and executable on said processor 30. The processor 30, when executing the computer program 32, implements the steps in the above-described embodiments of the method for identifying individual banknotes, such as the steps S11 to S14 shown in fig. 1. Alternatively, the processor 30, when executing the computer program 32, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the units 21 to 24 shown in fig. 2.
Illustratively, the computer program 32 may be partitioned into one or more modules/units that are stored in the memory 31 and executed by the processor 30 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 32 in the financial terminal 3. For example, the computer program 32 may be divided into a banknote image acquisition unit, a division unit, a signal acquisition unit, and a recognition unit, each of which functions as follows:
the paper money image acquisition unit is used for acquiring a paper money image through the charge coupled device and the CCD when the paper money passes through the money detection module;
the dividing unit is used for dividing the paper money image to obtain at least one quantized region of the paper money image;
the signal acquisition unit is used for acquiring a signal corresponding to each quantization region and storing the signal;
and the identification unit is used for identifying the paper money according to the signal.
Optionally, the dividing unit includes:
the first acquisition module is used for acquiring a preset characteristic area and a non-characteristic area of the paper money;
and the quantization module is used for dividing the banknote image according to the characteristic region and the non-characteristic region to obtain a quantized characteristic region and a quantized non-characteristic region.
Optionally, the signal acquiring unit includes:
the second acquisition module is used for acquiring the column signal of each quantized characteristic region and the column signal of each quantized non-characteristic region;
the first summarizing module is used for summarizing the column signals of each column in the quantized feature region to obtain the signals of the quantized feature region;
a second summarizing module, configured to summarize column signals of each column in the quantized non-characteristic region to obtain a signal of the quantized non-characteristic region;
and the storage module is used for storing the signal value of the characteristic region and the signal of the non-characteristic region after amplification.
Optionally, the identification unit includes:
the first judging module is used for judging whether the signal of the characteristic region is in a corresponding first preset signal interval or not;
the second judging module is used for judging whether the signal of the non-characteristic area is in a second preset signal interval or not when the signal of the characteristic area is in the corresponding first preset signal interval; if yes, the paper money is judged to be recognizable paper money.
Optionally, the banknote recognition system further comprises:
and the sending unit is used for sending the identified crown word number of the paper currency and the paper currency image to a server, and recording and storing the paper currency identification result according to the crown word number.
The financial terminal 3 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The financial terminal may include, but is not limited to, a processor 30, a memory 31. Those skilled in the art will appreciate that fig. 3 is merely an example of the financial terminal 3 and does not constitute a limitation of the financial terminal 3 and may include more or less components than those shown, or combine certain components, or different components, for example the financial terminal may also include input output devices, network access devices, buses, etc.
The Processor 30 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 31 may be an internal storage unit of the financial terminal 3, such as a hard disk or a memory of the financial terminal 3. The memory 31 may also be an external storage device of the financial terminal 3, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the financial terminal 3. Further, the memory 31 may also include both an internal storage unit and an external storage device of the financial terminal 3. The memory 31 is used to store the computer program and other programs and data required by the financial terminal. The memory 31 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned functional units and modules are illustrated as being divided, and in practical applications, the above-mentioned functions may be distributed as different functional units and modules according to needs, that is, the internal structure of the apparatus may be divided into different functional units or modules to complete all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit, and the integrated unit may be implemented in the form of a hardware or a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. For the specific working processes of the units and modules in the system, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described or recited in detail in a certain embodiment, reference may be made to the descriptions of other embodiments.
Those of ordinary skill in the art would appreciate that the elements and algorithm steps of the various embodiments described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed financial terminal and method may be implemented in other ways. For example, the above described financial terminal embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the method according to the embodiments of the present invention may also be implemented by instructing related hardware through a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. . Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, and software distribution medium, etc. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which, in accordance with legislation and patent practice, does not include electrical carrier signals and telecommunications signals.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the present invention, and are intended to be included within the scope thereof.
Claims (6)
1. A method of identifying a banknote, the method comprising:
when the paper money passes through the money detecting module, a Charge Coupled Device (CCD) acquires a paper money image;
dividing the banknote image to obtain at least one quantized region of the banknote image, including: acquiring a preset characteristic area and a non-characteristic area of the paper money; dividing the banknote image according to the feature region and the non-feature region to obtain a quantized feature region and a quantized non-feature region;
acquiring a signal corresponding to each quantization region, and storing the signal;
identifying the banknote from the signal, comprising: judging whether the signal of the characteristic region is in a corresponding first preset signal interval or not; when the signal of the characteristic region is in a corresponding first preset signal interval, judging whether the signal of the non-characteristic region is in a second preset signal interval; if yes, judging the paper money to be identifiable paper money;
and sending the identified crown word number of the paper currency and the paper currency image to a server, and recording and storing the paper currency identification result according to the crown word number.
2. The method for identifying a banknote as claimed in claim 1 wherein said obtaining a signal corresponding to each quantized region and storing said signal comprises:
acquiring a column signal of each quantized characteristic region and a column signal of each quantized non-characteristic region;
summarizing the column signals of each column in the quantized feature region to obtain signals of the quantized feature region;
summarizing the column signals of each column in the quantized non-characteristic area to obtain signals of the quantized non-characteristic area;
and storing the signals of the characteristic region and the signals of the non-characteristic region after amplification.
3. A banknote recognition system, comprising:
the paper money image acquisition unit is used for acquiring a paper money image through the charge coupled device and the CCD when the paper money passes through the money detection module;
the dividing unit is used for dividing the paper money image to obtain at least one quantized region of the paper money image;
the signal acquisition unit is used for acquiring a signal corresponding to each quantization region and storing the signal;
the sending unit is used for sending the recognized crown word number of the paper currency and the paper currency image to a server, and recording and storing the paper currency recognition result according to the crown word number;
the dividing unit includes:
the first acquisition module is used for acquiring a preset characteristic area and a non-characteristic area of the paper money;
the quantization module is used for dividing the banknote image according to the characteristic region and the non-characteristic region to obtain a quantized characteristic region and a quantized non-characteristic region;
an identification unit for identifying the paper money according to the signal, comprising: judging whether the signal of the characteristic region is in a corresponding first preset signal interval or not; when the signal of the characteristic region is in a corresponding first preset signal interval, judging whether the signal of the non-characteristic region is in a second preset signal interval; if yes, the paper money is judged to be recognizable paper money.
4. The banknote recognition system according to claim 3, wherein the signal acquisition unit includes:
the second acquisition module is used for acquiring the column signal of each quantized characteristic region and the column signal of each quantized non-characteristic region;
the first summarizing module is used for summarizing the column signals of each column in the quantized feature region to obtain the signals of the quantized feature region;
the second summarizing module is used for summarizing the column signals of each column in the quantized non-characteristic region to obtain signals of the quantized non-characteristic region;
and the storage module is used for storing the signal value of the characteristic region and the signal of the non-characteristic region after amplification.
5. A financial terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the steps of the method according to claim 1 or 2 are implemented when the computer program is executed by the processor.
6. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to claim 1 or 2.
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| CN1912932A (en) * | 2005-08-08 | 2007-02-14 | 株式会社东芝 | Sheet identifying apparatus and sheet identifying method |
| CN105096444A (en) * | 2014-05-22 | 2015-11-25 | 浙江大学 | Banknote identification instrument image acquisition and data processing method and circuit |
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| JP2004265036A (en) * | 2003-02-28 | 2004-09-24 | Nippon Conlux Co Ltd | Paper sheet identification device and method |
| KR101056666B1 (en) * | 2006-03-13 | 2011-08-12 | 노틸러스효성 주식회사 | Recognition method of wavelet using wavelet transform |
| KR20080082798A (en) * | 2007-03-09 | 2008-09-12 | 기산전자 주식회사 | Apparatus and method of recognizing bill type and discriminating counterfeit bill for one contact image sensor |
| CN103632433B (en) * | 2013-12-23 | 2015-10-28 | 尤新革 | Contact-type image sensor multi-optical spectrum image collecting and disposal route |
| CN103679918A (en) * | 2014-01-06 | 2014-03-26 | 成都术有科技有限公司 | High-speed banknote serial number extraction and identification method based on DSP (digital signal processor) |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1912932A (en) * | 2005-08-08 | 2007-02-14 | 株式会社东芝 | Sheet identifying apparatus and sheet identifying method |
| CN105096444A (en) * | 2014-05-22 | 2015-11-25 | 浙江大学 | Banknote identification instrument image acquisition and data processing method and circuit |
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