Character recognition preprocessing binarization method based on adaptive multi-threshold

Abstract

The invention provides a character recognition preprocessing binarization method based on adaptive multi-threshold, which comprises the following steps: S1, obtaining binarization standard threshold value of each pixel point in an original image; S2, optimizing the original image to obtain the optimized image; 3, obtaining an integral graph number table of that optimize image; S4, calculating a binarization standard threshold value of each pixel point of the original image; S5: obtaining a relaxation factor Zeta off each pixel point in the original image; S6, obtaining a product of a binary standard threshold value of each pixel point and a relaxation factor to obtain a binary relaxation threshold value of each pixel point; 7, carrying out binarization processing on that original image ofthe binary relaxation threshold; The invention solves the problem of poor recognition effect caused by uneven illumination and uncontrollable environment in the character recognition application of the mobile terminal, reduces the time cost of calculating the relaxation factor, and improves the efficiency and precision of binary preprocessing of the image to be recognized.

Description

technical field [0001] The invention relates to the field of character recognition, in particular to a preprocessing binarization method for character recognition based on adaptive multi-threshold. Background technique [0002] With the rapid advancement of mobile Internet in all levels of social life, there are more and more demands for fast and accurate character recognition in mobile terminal applications. Binarization is an indispensable preprocessing process before character recognition. The effect of binarization directly determines the accuracy of character segmentation, feature extraction and pattern recognition. However, the mobile terminal application environment has great uncertainty, and it is usually unavoidable to be affected by lights, human shadows or shadows of other different objects when acquiring images in a mobile environment. Under such environmental influences, there will be a big difference between the collected image and the actual image. The unco...

AI Technical Summary

Problems solved by technology

[0006] In view of this, the object of the present invention is to provide a character recognition preprocessing binarization method based on adaptive multi-threshold, obtain the normal threshold of the pixel point through a sliding window of a certain size, and introduce a relaxation factor to evaluate the illumination of the current point Changes, and according to the weight value of the front point to calculate and comprehensively determine the relaxation threshold of the foreground division, solve the problem of uneven illumination and uncontrollable environment in the application of mobile terminal character recognition, and the problem of poor recognition effect caused by the uncontrollable environment, and obtain the integral map through optimization The method reduces the time overhead of calculating the relaxation factor, improves the efficiency and accuracy of the binarization preprocessing of the image that needs character recognition, reduces the cost of subsequent accurate character recognition, and improves the accuracy of character recognition

Images