An intelligent recognition method and system for handwritten forms

An intelligent recognition and table technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of adding table formats, difficulties, fixed table formats, etc., to achieve robustness, fast and accurate recognition, strong The effect of practicality

Active Publication Date: 2018-05-29
UNIV OF SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Restricted form recognition can greatly improve the accuracy and speed of computer recognition of forms, but the recognized form format is fixed, usually only a few, and it is difficult to increase the form format
[0006] To sum up, the existing technology can accurately identify fewer types of forms, and there are problems of low accuracy and slow speed

Method used

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  • An intelligent recognition method and system for handwritten forms
  • An intelligent recognition method and system for handwritten forms
  • An intelligent recognition method and system for handwritten forms

Examples

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Embodiment 1

[0020] figure 1 It is a flow chart of an intelligent recognition method for a handwritten form provided by Embodiment 1 of the present invention. Such as figure 1 As shown, the method mainly includes the following steps:

[0021] Step 11. After preprocessing the photographed handwritten form pictures, sequentially perform difference processing and Hough transform to obtain angle-corrected handwritten form pictures.

[0022] In actual work, due to factors such as shooting angle and jitter in the process of image collection, the image will be distorted to a certain extent.

[0023] Exemplary, figure 2 This step can be used to correct the handwritten form pictures taken; specifically:

[0024] First, after graying the picture of the handwritten form, use the maximum inter-class difference method to obtain the global threshold, and perform binarization to obtain the picture F1;

[0025] Next, perform a vertical difference on the picture F1 to obtain a picture F2 after the di...

Embodiment 2

[0057] Figure 6 It is a schematic diagram of an intelligent recognition system for a handwritten form provided by Embodiment 1 of the present invention. Such as Figure 6 As shown, the system mainly includes:

[0058] Correction module 61, after being used for preprocessing the photographed handwritten form picture, sequentially carry out differential processing and Hough transform, obtain the handwritten form picture after angle correction;

[0059] A rectangular area extraction module 62, configured to segment the angle-corrected handwritten form picture to obtain several rectangular areas including handwritten parts;

[0060] The identification module 63 is configured to analyze and identify the content in the several rectangular areas based on features or classifiers.

[0061] Further, the angle correction module 61 may include:

[0062] The binarization module 611 is used for graying the handwritten form picture, using the maximum inter-class difference method to obt...

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Abstract

The invention discloses a method and system for intelligent recognition of handwritten forms, wherein the method comprises: after preprocessing the photographed pictures of handwritten forms, sequentially performing difference processing and Hough transformation to obtain the angle-corrected handwritten form picture; segmenting the angle-corrected handwritten form picture to obtain several rectangular areas including handwritten parts; analyzing and identifying the content in the several rectangular areas based on features or classifiers. By adopting the method and system disclosed in the invention, handwritten forms can be recognized quickly and accurately.

Description

technical field [0001] The invention relates to the technical field of intelligent image analysis, in particular to an intelligent recognition method and system for a handwritten form. Background technique [0002] Tables are commonly used data carriers in documents. At present, they are widely used in various occasions such as business and social surveys. However, the statistical analysis of table results is often a task with a huge workload. In the statistics of traditional evaluation tables, people often need to do it manually, which greatly wastes manpower and material resources. [0003] Currently existing form recognition systems can be divided into two categories: [0004] Unrestricted table recognition: There is no prior structural information of the table before recognition, mainly by analyzing the table structure of the picture, and then extracting and recognizing characters after obtaining the structure of the table. The algorithm is complex, and the recognition...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/20G06K9/66
CPCG06V30/413G06V30/414G06V10/243G06F18/24
Inventor 董兰芳谢永祥
Owner UNIV OF SCI & TECH OF CHINA
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