CN109460758A - A kind of automatic wisdom grain depot form recognition method and its system - Google Patents

A kind of automatic wisdom grain depot form recognition method and its system Download PDF

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Publication number
CN109460758A
CN109460758A CN201811406943.9A CN201811406943A CN109460758A CN 109460758 A CN109460758 A CN 109460758A CN 201811406943 A CN201811406943 A CN 201811406943A CN 109460758 A CN109460758 A CN 109460758A
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CN
China
Prior art keywords
information
grain depot
region
image
module
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Pending
Application number
CN201811406943.9A
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Chinese (zh)
Inventor
吴新春
孙彪
陈俊宇
莫军连
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Sichuan Industrial University Chuangxing Big Data Co Ltd
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Sichuan Industrial University Chuangxing Big Data Co Ltd
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Publication date
Application filed by Sichuan Industrial University Chuangxing Big Data Co Ltd filed Critical Sichuan Industrial University Chuangxing Big Data Co Ltd
Priority to CN201811406943.9A priority Critical patent/CN109460758A/en
Publication of CN109460758A publication Critical patent/CN109460758A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/22Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition

Abstract

The invention discloses a kind of automatic wisdom grain depot form recognition method and its systems, and this method comprises the following steps: (1) obtaining the image information of grain depot document;(2) image procossing is carried out to the image information of acquisition;(3) by treated, image carries out region division, divides are as follows: bill name region, information area and table area;(4) contours extract is carried out to the font in each region and identifies corresponding character contour, the character contour of corresponding region is saved in corresponding information storage area.The present invention can carry out automatic input to the information of grain depot document, carry out manual typing without staff, improve work efficiency, reduce cost of labor.

Description

A kind of automatic wisdom grain depot form recognition method and its system
Technical field
The present invention relates to grain depot data input technical fields, and in particular to a kind of automatic wisdom grain depot form recognition method and Its system.
Background technique
China is grain-production and consumption big country and grain reserves big country, grain are the commodity concerning national economy, is protected The development that its abundance supply is related to social stability and national economy with quality safety is demonstrate,proved, China all establishes have for a long time thus Corresponding grain reserve system.
With the development for calculating industry, various grain depot Application of Monitoring System and give birth to, but present grain depot monitors system base This is copied on computers by being transcribed again by the table that staff will fill in after manually filling in a form, this mode not only working efficiency It is low, also add cost of labor.
Summary of the invention
The purpose of the present invention is to provide a kind of automatic wisdom grain depot documents that work efficiency is high and can reduce cost of labor Recognition methods and its system.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of automatic wisdom grain depot form recognition method, includes the following steps:
(1) image information of grain depot document is obtained;
(2) image procossing is carried out to the image information of acquisition;
(3) by treated, image carries out region division, divides are as follows: bill name region, information area and table area;
(4) contours extract is carried out to the font in each region and identifies corresponding character contour, by the word of corresponding region Body profile is saved in corresponding information storage area.
Further, the acquisition of described image information is obtained by camera or scanning means.
Further, described image processing refers to that image information is first carried out to gray proces carries out binary conversion treatment again.
Further, the font progress contours extract in each region, which refers to, first passes through convolutional neural networks module The space characteristics in images to be recognized are extracted, space characteristics are then input to abstraction sequence feature in nested LSTM module, most It is entered and left afterwards according to space characteristics and sequence signature to RPN module and obtains character contour.
Further, the corresponding character contour of the identification refer to by the character contour of extraction and the character contour that prestores into Row comparison obtains corresponding text information.
The present invention also provides a kind of automatic wisdom grain depot form recognition systems, comprising:
Image collection module, for obtaining the image information of grain depot document;
Image processing module, for carrying out image procossing to image information;
Region division module divides are as follows: bill name area for carrying out region division to the image information after image procossing Domain, information area and table area;
Text information identification module, for carrying out contours extract to the text in each region and identifying its text information;
Typing preserving module, to get to corresponding in the information storage area for thinking the text information typing of identification The text information in region completes the data input and preservation of a grain depot document.
The invention has the following advantages:
(1) automatic input can be carried out to the information of grain depot document, carries out manual typing without staff, improves work Efficiency reduces cost of labor;
(2) by first carrying out gray proces binary conversion treatment again to image information, after an action of the bowels it is subsequent division and text wheel Wide extraction;
(3) space characteristics in convolutional neural networks module extraction images to be recognized are first passed through, it is then that space characteristics are defeated Enter the abstraction sequence feature into nested LSTM module, is finally entered and left according to space characteristics and sequence signature to RPN module and obtain word Body profile, recognition speed is fast and effect is good;
(4) text information is obtained compared with the text profile prestored by text profile, is applicable not only to type-script text Apply also for the text of handwritten form.
Detailed description of the invention
Fig. 1 is automatic wisdom grain depot form recognition method flow schematic diagram of the invention.
Specific embodiment
Embodiment 1
Automatic wisdom grain depot form recognition method provided in this embodiment includes the following steps:
(1) document of grain depot is scanned by camera or scanning means to obtain the image of grain depot document letter Breath;
(2) image procossing is carried out to the image information of acquisition, described image processing refers to first carry out gray proces after into Row binary conversion treatment, obtains gray level image information;
(3) gray level image information is subjected to region division, divided are as follows: bill name region, information area and table area; The bill name region is title information area, specially goes out storage registration form, advice of settlement or other records Deng the information area is the information area filled in, and the information area of each table has all differences, can be practical according to each Table is configured, and the table area is also the region filled in, such as weight, inspection result etc., after being divided more It is suitble to text information to read, the region after division can also be divided again, quickly to obtain text information;
(4) contours extract is carried out to the font in each region and identifies corresponding character contour, by the word of corresponding region Body profile is saved in corresponding information storage area, and it is by first rolling up that the font in each region, which carries out contours extract, Product neural network module extracts the space characteristics in images to be recognized, and then space characteristics are input in nested LSTM module and are mentioned Sequence signature is taken, is finally entered and left according to space characteristics and sequence signature to RPN module and obtains character contour, this identification text wheel Wide recognition speed is fast and effect is good, is compared after extracting text profile with the text profile prestored, can quickly obtain text Word information, the locating text profile prestored can be computerized print body can also be with handwritten form, and the information for being more suitable for grain depot document obtains It taking, text information is stored in corresponding information storage area to get to the grain depot document of an electronic edition after obtaining, with And its data are filled in, it is finally stored, grain depot document is opened in typing one.
Embodiment 2
The present invention also provides a kind of automatic wisdom grain depot form recognition systems to include:
Image collection module, for obtaining the image information of grain depot document, by camera or scanning means to grain depot Document be scanned to obtain the image information of grain depot document;
Image processing module carries out image procossing to the image information of acquisition for carrying out image procossing to image information, Described image processing is carrying out binary conversion treatment after referring to first progress gray proces, obtains gray level image information;
Region division module divides are as follows: bill name area for carrying out region division to the image information after image procossing Domain, information area and table area, the bill name region be title information area, specially go out storage registration form, Advice of settlement or other records etc., the information area is the information area filled in, and the information area of each table is It is different, it can be actually configured according to each table, the table area is also the region filled in, such as weight, inspection Come to an end fruit etc., and text information reading is more suitable for after being divided, can also be divided again to the region after division, with quick Acquisition text information;
Text information identification module, for carrying out contours extract to the text in each region and identifying its text information, The font in each region carries out contours extract and first passes through in convolutional neural networks module extraction images to be recognized Then space characteristics are input to abstraction sequence feature in nested LSTM module, finally according to space characteristics and sequence by space characteristics Column feature enters and leaves to RPN module and obtains character contour.The recognition speed of this identification text profile is fast and effect is good, extracts text It is compared after profile with the text profile prestored, can quickly show that text information, the locating text profile prestored can be Computerized print body can also be more suitable for the acquisition of information of grain depot document with handwritten form, and text information is stored to corresponding after obtaining Information storage area in get to the grain depot document of electronic edition and its fill in data.
Typing preserving module, to get to corresponding in the information storage area for thinking the text information typing of identification The text information in region completes the data input and preservation of a grain depot document.
The above is only the preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto, any The transformation and replacement carried out based on technical solution provided by the present invention and inventive concept should all be covered in protection model of the invention In enclosing.

Claims (6)

1. a kind of automatic wisdom grain depot form recognition method, it is characterised in that include the following steps:
(1) image information of grain depot document is obtained;
(2) image procossing is carried out to the image information of acquisition;
(3) by treated, image carries out region division, divides are as follows: bill name region, information area and table area;
(4) contours extract is carried out to the font in each region and identifies corresponding character contour, by the font wheel of corresponding region Exterior feature is saved in corresponding information storage area.
2. automatic wisdom grain depot form recognition method according to claim 1, it is characterised in that: described image information obtains Take is obtained by camera or scanning means.
3. automatic wisdom grain depot form recognition method according to claim 1, it is characterised in that: described image processing refers to Image information is first carried out to gray proces and carries out binary conversion treatment again.
4. automatic wisdom grain depot form recognition method according to claim 1, it is characterised in that: described in each region Font carry out contours extract refer to first pass through convolutional neural networks module extract images to be recognized in space characteristics, then will Space characteristics are input to abstraction sequence feature in nested LSTM module, are finally entered and left according to space characteristics and sequence signature to RPN Module obtains character contour.
5. automatic wisdom grain depot form recognition method according to claim 4, it is characterised in that: the corresponding word of identification Body profile, which refers to compare the character contour of extraction with the character contour prestored, obtains corresponding text information.
6. a kind of automatic wisdom grain depot form recognition system, characterized by comprising:
Image collection module, for obtaining the image information of grain depot document;
Image processing module, for carrying out image procossing to image information;
Region division module is divided for carrying out region division to the image information after image procossing are as follows: bill name region, Information area and table area;
Text information identification module, for carrying out contours extract to the text in each region and identifying its text information;
Typing preserving module arrives corresponding region in the information storage area for thinking the text information typing of identification Text information complete data input and the preservation of grain depot document.
CN201811406943.9A 2018-11-23 2018-11-23 A kind of automatic wisdom grain depot form recognition method and its system Pending CN109460758A (en)

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CN201811406943.9A CN109460758A (en) 2018-11-23 2018-11-23 A kind of automatic wisdom grain depot form recognition method and its system

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Application Number Priority Date Filing Date Title
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Cited By (1)

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Publication number Priority date Publication date Assignee Title
CN111460959A (en) * 2020-03-27 2020-07-28 北京大学 Document management method and related device

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CN107679531A (en) * 2017-06-23 2018-02-09 平安科技(深圳)有限公司 Licence plate recognition method, device, equipment and storage medium based on deep learning
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US10032072B1 (en) * 2016-06-21 2018-07-24 A9.Com, Inc. Text recognition and localization with deep learning
CN106203416A (en) * 2016-07-08 2016-12-07 武汉工程大学 A kind of express delivery document information input method based on scanogram and input device
CN107679531A (en) * 2017-06-23 2018-02-09 平安科技(深圳)有限公司 Licence plate recognition method, device, equipment and storage medium based on deep learning

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CN111460959A (en) * 2020-03-27 2020-07-28 北京大学 Document management method and related device

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Application publication date: 20190312