CN110348346A - A kind of bill classification recognition methods and system - Google Patents
A kind of bill classification recognition methods and system Download PDFInfo
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- CN110348346A CN110348346A CN201910577143.1A CN201910577143A CN110348346A CN 110348346 A CN110348346 A CN 110348346A CN 201910577143 A CN201910577143 A CN 201910577143A CN 110348346 A CN110348346 A CN 110348346A
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- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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- G06Q40/125—Finance or payroll
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/413—Classification of content, e.g. text, photographs or tables
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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Abstract
The embodiment of the invention discloses a kind of bill classification recognition methods and systems, comprising: obtains the picture containing bill, carries out identification classification to the bill in picture, obtains bank slip recognition as a result, bank slip recognition result includes N sola bill pictures；Text region is carried out to N sola bill pictures, obtains Text region result；Text region result is packaged into special model.By the way that the picture containing bill is carried out classification segmentation, form multiple sola bill pictures, Text region is carried out to sola bill picture respectively again, identify type belonging to the word content and bill on bill, it is possible thereby to by multiple on same expense report and the automatic Classification and Identification of different types of bill progress, classification effectiveness is improved, the bill sorting work of financial staff is simplified；And the Text region result of sola bill picture is packaged into the corresponding special model of each bill respectively and is provided conveniently for the use of other business for follow-up checks.
Description
Technical field
The invention belongs to teleworking technical field more particularly to a kind of bill classification recognition methods and systems.
Background technique
Manual examination and verification mode, financial staff are still taken in the shared office realm invoice reimbursement of finance, scanning, audit mostly at present
Physical ticket receiving is all suffered from daily, is sorted, and is scanned, audit, the process of reply.Whole flow process line is dry as dust, and there is big
Amount repeats manual operations, especially ticket processing, and needing to compare employee repeatedly and mentioning the reimbursement procedure information of report is with ticket information
It is no consistent, it is time-consuming and laborious.
Summary of the invention
The embodiment of the present invention provides a kind of bill classification recognition methods and system, can automatic recognition classification one open reimbursement
A plurality of types of bills on list, improve recognition efficiency, simplify the sorting work of financial staff.
In order to achieve the above objectives, the embodiment of the present invention adopts the following technical scheme that
In a first aspect, the embodiment of the present invention provides a kind of bill classification recognition methods, comprising:
S10 obtains the picture containing bill, carries out identification classification to the bill in the picture, obtains bank slip recognition knot
Fruit, the picture include N bills, and N is the integer greater than 1, and the bank slip recognition result includes N sola bill pictures；
S20 carries out Text region to the N sola bill pictures, obtains Text region result；
The Text region result is packaged into special model by S30.
With reference to first aspect, in the first possible implementation of the first aspect, the step S10 is known using OCR
Other technology carries out identification classification to the bill in the picture, specifically includes:
The size of the picture is adjusted setting value by S101；
S102 runs single convolutional network on the picture adjusted；
S103 runs convolution results to the picture that S102 is obtained by the confidence level of the target detection model in OCR identification technology
Carry out threshold process；
S104 does image, semantic segmentation using neural network, obtains N sola bill pictures.
With reference to first aspect, in the second possible implementation of the first aspect, OCR is used in the step S20
Identification technology carries out Text region to N sola bill pictures, obtains Text region as a result, the Text region result includes institute
State the coordinate that text and the text on sola bill picture are located on the sola bill picture.
With reference to first aspect, in a third possible implementation of the first aspect, the step S30 is specifically included:
S301 is according to affiliated Text region as a result, obtaining type belonging to the bill on the sola bill picture；
Text region result is packaged into the special model of the bill, institute by S302 type according to belonging to the bill
Stating special model includes at least one service fields；
One or more of service fields are about set to the aiming field of the special model by S303.
Second aspect, the embodiment of the present invention provide a kind of bill classification identifying system, comprising:
Bank slip recognition module carries out identification classification to the bill in the picture, obtains for obtaining the picture containing bill
Bill recognition result is obtained, the picture includes N bills, and N is the integer greater than 1, and the bank slip recognition result includes that N opens individual
Bill picture；
Text region module obtains Text region result for carrying out Text region to the N sola bill pictures.
Package module, for the Text region result to be packaged into special model.
In conjunction with second aspect, in the first possible implementation of the second aspect, the bank slip recognition module is into one
Step is specifically included for carrying out identification classification to the bill in the picture using OCR identification technology:
Module is adjusted, for the size of the picture to be adjusted setting value；
Convolution module, for running single convolutional network on the picture adjusted；
Processing module transports the picture that S102 is obtained for the confidence level by the target detection model in OCR identification technology
Row convolution results carry out threshold process；
Divide module, for doing image, semantic segmentation using neural network, obtains N sola bill pictures.
In conjunction with second aspect, in a second possible implementation of the second aspect, the Text region module is into one
Step obtains Text region as a result, the text for carrying out Text region to N sola bill pictures using OCR identification technology
Recognition result includes text on the sola bill picture and the text is located at the coordinate on the sola bill picture.
In conjunction with second aspect, in the third possible implementation of the second aspect, the package module includes:
Matching module, for according to affiliated Text region as a result, obtaining belonging to the bill on the sola bill picture
Type；
Text region result is packaged into the special of the bill for the type according to belonging to the bill by conversion module
Item model, the special project model includes at least one service fields；
Provisioning modules, for one or more of service fields to be about set to the aiming field of the special model.
Bill classification recognition methods provided in an embodiment of the present invention and system, by the way that the picture of multiple types bill will be contained
It is split, forms multiple sola bill pictures, then Text region is carried out to sola bill picture respectively, identify on bill
Text, so that type belonging to bill is identified, it is possible thereby to by multiple on same expense report and different types of bill
Automatic Classification and Identification is carried out, can only identify sola bill compared with the prior art, identification classification effectiveness is improved, simplifies finance
The bill sorting work of personnel；The Text region result of sola bill picture is packaged into the corresponding special model of each bill, with
It uses for other business, is provided conveniently for follow-up checks.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to needed in the embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is the flow chart of bill classification recognition methods provided in an embodiment of the present invention；
Fig. 2 is the structural schematic diagram of bill classification identifying system provided in an embodiment of the present invention.
Specific embodiment
Technical solution in order to enable those skilled in the art to better understand the present invention, with reference to the accompanying drawing and specific embodiment party
Present invention is further described in detail for formula.Embodiments of the present invention are described in more detail below, the embodiment is shown
Example is shown in the accompanying drawings, and in which the same or similar labels are throughly indicated same or similar element or has identical or class
Like the element of function.It is exemplary below with reference to the embodiment of attached drawing description, for explaining only the invention, and cannot
It is construed to limitation of the present invention.Those skilled in the art of the present technique are appreciated that unless otherwise defined, all arts used herein
Language (including technical terms and scientific terms) has identical as the general understanding of those of ordinary skill in fields of the present invention
Meaning.It should also be understood that those terms such as defined in the general dictionary should be understood that have and the prior art
Context in the consistent meaning of meaning with idealization or too formal will not contain and unless defined as here
Justice is explained.
In an embodiment of the present invention, by obtaining the picture containing N (N is the integer greater than 1) bill, in picture
Bill carry out identification classification, obtaining includes the bank slip recognition of N sola bill pictures as a result, then to N sola bill figures
Piece carries out Text region, obtains Text region as a result, Text region result is finally packaged into special model, it is possible thereby to will patch
Multiple on same expense report and the automatic Classification and Identification of a plurality of types of bills, improve recognition efficiency, simplify finance
The sorting work of personnel, and it is packaged into the corresponding special model of each bill respectively, for the use of other business.
The method flow of one embodiment of the invention is illustrated below with reference to Fig. 1.In step slo, it obtains and contains ticket
According to picture.Such as reimbursement personnel various types of bills are pasted on an expense report, by camera to expense report into
Row shooting is scanned expense report by scanning device, to obtain the picture containing N bills.To the ticket in picture
According to identification classification is carried out, bank slip recognition is obtained as a result, bank slip recognition result includes N sola bill pictures.
According to one embodiment of present invention, identification classification is carried out to the bill in the picture using OCR identification technology,
It specifically including step in detail below: the size of picture being adjusted to setting value first, setting value can be 448 × 448 resolution ratio,
Then single convolutional network is run on picture after the adjustment, secondly by the confidence of the target detection model in OCR identification technology
It spends and threshold process is carried out to the picture operation convolution results of acquisition, finally do image, semantic segmentation using neural network, obtain N
Sola bill picture.
In step S20, Text region is carried out to the N sola bill pictures, obtains Text region result.
According to one embodiment of present invention, Text region is carried out to N sola bill pictures using OCR identification technology,
Text detection and the Text region based on CRNN model are specifically included, obtains Text region as a result, the Text region result packet
It includes on the sola bill picture from top to bottom, text and corresponding coordinate from left to right.For example, the Text region obtained
As a result from top to bottom for picture, the text of coordinate and coordinate from left to right carries out Text region to a train ticket picture, obtains
Text region result be
In step s 30, the Text region result is packaged into special model.
According to one embodiment of present invention, step S30 may include step in detail below: S301 is according to Text region knot
Fruit obtains type belonging to the bill on the sola bill picture.Bill is divided into the special ticket of train ticket, plane ticket, value-added tax, increasing
It is worth the general ticket of tax, value-added tax electricity ticket, types, every kind of bills such as value-added tax volume ticket, quota ticket, price file have keyword, such as
The keyword of train ticket has several equal seats, seating people etc., if there are these keywords in Text region result, can confirm the list
The bill for opening bill on piece is train ticket.
Text region result is packaged into the special model of the bill, institute by S302 type according to belonging to the bill
Stating special model includes at least one service fields.Such as in the special model of train ticket comprising admission fee, rider, starting point,
The service fields such as destination and the time of departure.In some embodiments, the encapsulation script for calling type belonging to the bill, by this
The Text region result of bill is converted into special model.Encapsulation script is to write in advance, and different types of bill has its correspondence
Encapsulation script, such as the bill type of identification is train ticket, and the nominal value of train ticket includes admission fee, rider, starting point, purpose
The service fields such as ground and the time of departure, using the encapsulation script of train ticket by the admission fee on the train ticket of acquisition, rider, starting
The related texts such as ground, destination and the time of departure are converted into the business such as admission fee, rider, starting point, destination and the time of departure
Field forms the special model of the train ticket.
One or more of service fields are about set to the aiming field of the special model by S303.For example, agreement fire
The aiming field of the special model of ticket is admission fee, rider and the time of departure.
Fig. 2 shows the structural block diagram of bill classification identifying system provided in an embodiment of the present invention, which includes: bill
Identification module carries out identification classification to the bill in the picture, obtains bank slip recognition knot for obtaining the picture containing bill
Fruit, the picture include N bills, and N is the integer greater than 1, and the bank slip recognition result includes N sola bill pictures；Text
Word identification module obtains Text region result for carrying out Text region to the N sola bill pictures；Package module is used
In the Text region result is packaged into special model.
According to one embodiment of present invention, bank slip recognition module is further used for using OCR identification technology to the figure
Bill in piece carries out identification classification, specifically includes: adjustment module, for the size of the picture to be adjusted setting value；Convolution
Module, for running single convolutional network on the picture adjusted；Processing module, for by OCR identification technology
The confidence level of target detection model carries out threshold process to the picture operation convolution results that S102 is obtained；Divide module, for benefit
Image, semantic segmentation is done with neural network, obtains N sola bill pictures.
According to one embodiment of present invention, Text region module is further used for opening individual to N using OCR identification technology
Bill picture carries out Text region, obtains Text region as a result, the Text region result includes on the sola bill picture
Text and the text be located at the coordinate on the sola bill picture.
According to one embodiment of present invention, package module includes: matching module, for according to the Text region knot
Fruit obtains type belonging to the bill on the sola bill picture；Conversion module, for the class according to belonging to the bill
Text region result is packaged into the special model of the bill by type, and the special project model includes at least one service fields；About
Cover half block, for one or more of service fields to be about set to the aiming field of the special model.
Bill classification recognition methods provided in an embodiment of the present invention and system, by the way that the picture containing bill is classified
Segmentation, forms multiple sola bill pictures, then carries out Text region to sola bill picture respectively, identifies the text on bill
Type belonging to content and bill, it is possible thereby to by multiple on same expense report and different types of bill is divided automatically
Class identification, improves classification effectiveness, simplifies the bill sorting work of financial staff；And respectively by the text of sola bill picture
Recognition result is packaged into the corresponding special model of each bill and provides conveniently for the use of other business for follow-up checks.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for equipment reality
For applying example, since it is substantially similar to the method embodiment, so describing fairly simple, related place is referring to embodiment of the method
Part explanation.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by those familiar with the art, all answers
It is included within the scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (8)
1. a kind of bill classification recognition methods characterized by comprising
S10 obtains the picture containing bill, carries out identification classification to the bill in the picture, obtains bank slip recognition as a result, institute
Stating picture includes N bills, and N is the integer greater than 1, and the bank slip recognition result includes N sola bill pictures；
S20 carries out Text region to the N sola bill pictures, obtains Text region result；
The Text region result is packaged into special model by S30.
2. the method according to claim 1, wherein using OCR identification technology to the figure in the step S10
Bill in piece carries out identification classification, specifically includes:
The size of the picture is adjusted setting value by S101；
S102 runs single convolutional network on the picture adjusted；
S103 carries out the picture operation convolution results that S102 is obtained by the confidence level of the target detection model in OCR identification technology
Threshold process；
S104 does image, semantic segmentation using neural network, obtains N sola bill pictures.
3. the method according to claim 1, wherein single to N using OCR identification technology in the step S20
It opens bill picture and carries out Text region, obtain Text region as a result, the Text region result includes the sola bill picture
On text and the text be located at the coordinate on the sola bill picture.
4. the method according to claim 1, wherein the step S30 is specifically included:
S301 is according to the Text region as a result, obtaining type belonging to the bill on the sola bill picture；
Text region result is packaged into the special model of the bill by S302 type according to belonging to the bill, described special
Item model includes at least one service fields；
One or more of service fields are about set to the aiming field of the special model by S303.
5. a kind of bill classification identifying system characterized by comprising
Bank slip recognition module carries out identification classification to the bill in the picture, obtains ticket for obtaining the picture containing bill
According to recognition result, the picture includes N bills, and N is the integer greater than 1, and the bank slip recognition result includes N sola bills
Picture；
Text region module obtains Text region result for carrying out Text region to the N sola bill pictures；
Package module, for the Text region result to be packaged into special model.
6. system according to claim 5, which is characterized in that the bank slip recognition module is further used for knowing using OCR
Other technology carries out identification classification to the bill in the picture, specifically includes:
Module is adjusted, for the size of the picture to be adjusted setting value；
Convolution module, for running single convolutional network on the picture adjusted；
Processing module, the picture operation volume that S102 is obtained for the confidence level by the target detection model in OCR identification technology
Product result carries out threshold process；
Divide module, for doing image, semantic segmentation using neural network, obtains N sola bill pictures.
7. system according to claim 5, which is characterized in that the Text region module is further used for knowing using OCR
Other technology carries out Text region to N sola bill pictures, obtains Text region as a result, the Text region result includes described
Text and the text on sola bill picture are located at the coordinate on the sola bill picture.
8. system according to claim 5, which is characterized in that the package module includes:
Matching module, for according to affiliated Text region as a result, obtaining type belonging to the bill on the sola bill picture；
Text region result is packaged into the special mould of the bill for the type according to belonging to the bill by conversion module
Type, the special project model includes at least one service fields；
Provisioning modules, for one or more of service fields to be about set to the aiming field of the special model.
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| CN111046750A (en) * | 2019-11-25 | 2020-04-21 | 西安思后网络科技有限公司 | Bill classification system and method |
| CN111291741A (en) * | 2020-05-13 | 2020-06-16 | 太平金融科技服务（上海）有限公司 | Receipt identification method and device, computer equipment and storage medium |
| CN111368828A (en) * | 2020-02-27 | 2020-07-03 | 大象慧云信息技术有限公司 | Multi-bill identification method and device |
| CN112348024A (en) * | 2020-10-29 | 2021-02-09 | 北京信工博特智能科技有限公司 | Image-text identification method and system based on deep learning optimization network |
| CN112464872A (en) * | 2020-12-11 | 2021-03-09 | 广东电网有限责任公司 | Automatic extraction method and device based on NLP (non-line segment) natural language |
| CN116933187A (en) * | 2023-09-15 | 2023-10-24 | 北京中企导航科技有限公司 | Digital processing method and system for financial reimbursement bill |
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| CN116933187A (en) * | 2023-09-15 | 2023-10-24 | 北京中企导航科技有限公司 | Digital processing method and system for financial reimbursement bill |
| CN116933187B (en) * | 2023-09-15 | 2023-12-19 | 北京中企导航科技有限公司 | Digital processing method and system for financial reimbursement bill |
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