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Handwritten Digit Recognition Method Based on Feature Matrix Similarity Analysis

A technology of similarity analysis and feature matrix, applied in character recognition, character and pattern recognition, instruments, etc., can solve problems such as theory and learning algorithms that need to be further improved, with fast speed, guaranteed accuracy and precision, and small amount of calculation Effect

Active Publication Date: 2020-07-28
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the deep learning of neural networks requires a large number of sample support for training to obtain a better recognition function, and the theory and learning algorithms need to be further improved

Method used

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  • Handwritten Digit Recognition Method Based on Feature Matrix Similarity Analysis
  • Handwritten Digit Recognition Method Based on Feature Matrix Similarity Analysis
  • Handwritten Digit Recognition Method Based on Feature Matrix Similarity Analysis

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Embodiment Construction

[0041] In order to understand the purpose and process of the present invention more fully, the present invention will be described in detail below in conjunction with the accompanying drawings and specific examples, and the purpose and effect of the present invention will become more obvious.

[0042] A kind of handwritten digit recognition method based on feature matrix similarity analysis provided by the invention, the steps are as follows:

[0043] 1) Obtain the handwritten digital image to be recognized, and back up the original handwritten digital image so that the subsequent administrator can confirm whether the recognition result is correct or not;

[0044] 2) converting the obtained original handwritten digital image into a grayscale image;

[0045] 3) converting the obtained grayscale image into a binary image;

[0046] 4) smoothing, optimizing and cutting the obtained binary image, and then scaling to obtain the binary feature matrix of the image to be recognized; ...

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Abstract

The invention discloses a method for recognizing handwritten digits based on feature matrix similarity analysis, comprising the following steps: A. obtaining a handwritten digit image to be recognized; B. converting the obtained original handwritten digit image into a grayscale image; C. The obtained grayscale image is converted into a binary image; D, the obtained binary image is smoothed, optimized, cut, and scaled to obtain the binary feature matrix of the image to be recognized; E, the obtained binary feature matrix is ​​combined with each standardized digital feature Two groups of matrices are combined to form feature matrix pairs, and the similarity analysis is carried out separately; the correlation coefficient results obtained from the analysis, the higher the correlation coefficient, the higher the similarity, and the standardized number corresponding to the feature matrix pair with the highest similarity is the number obtained from recognition. Through the invention, the computer can recognize handwritten digits more accurately; and compared with the existing method, the invention does not need a large number of training samples to support the recognition technology, and the training time is short, the calculation amount is small, and the recognition accuracy is high.

Description

technical field [0001] The invention relates to the fields of image processing and pattern recognition, in particular to a method for recognizing handwritten digits based on characteristic matrix similarity analysis. Background technique [0002] With the rapid development of information technology, there is a large amount of data to be input into the computer network. Therefore, how to replace manual input with efficient and intelligent recognition of handwritten numbers by machines has become an urgent problem to be solved. The advantages of machine intelligent recognition are that firstly, the recognition speed is greatly accelerated, secondly, various errors that may occur in manual input are avoided, and thirdly, the operation process of the entire system can be optimized. [0003] Handwritten digit recognition has always been a research hotspot in the field of image processing and pattern recognition. At present, handwritten digit recognition technology has been widely...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V30/36G06V30/10G06F18/22
Inventor 周若宸杨强
Owner ZHEJIANG UNIV