A Segmentation Method of Handwritten Chinese Characters at the Uppercase Amount of Financial Bills

Abstract

The invention discloses a method for segmenting handwritten Chinese characters at the uppercase amount of financial bills, which is characterized in that it comprises the following steps: selecting the area of ​​the handwritten Chinese characters at the uppercase amount; calculating the optimal segmentation threshold of the image by using the law: traversing the gray value of the image and Sum up and take the average value to obtain the threshold for preliminary segmentation. The traversal threshold is from 0 to 255. The variance value of the foreground and background needs to be calculated for each traversal. When the variance value is the largest, it is determined that the difference between the foreground and the background is the largest. At this time, The threshold is the best segmentation threshold; use the best segmentation threshold to binarize the image to obtain the binary image of handwritten Chinese characters and background segmentation; horizontal projection to calculate the average height of Chinese characters; vertical projection to determine the optimal width sequence; use the average height Segmentation of handwritten Chinese characters at uppercase amount with optimal width sequence.

Description

technical field [0001] The invention relates to the field of sheet-like paper medium processing, in particular to a method for segmenting handwritten Chinese characters at capitalized amounts at financial notes. Background technique [0002] At present, in the field of character processing, handwritten Chinese character segmentation and recognition technology is developing rapidly, its recognition accuracy is gradually improving, its application scenarios are expanding, and its related products are becoming more and more mature. The application effect in the recognition scene is not ideal. [0003] Different from other Chinese handwriting application scenarios, there are fewer types of Chinese characters in uppercase amounts on financial bills. There are about 20 Chinese characters such as one, two, three, four, five, six, seven, etc. Due to the limitation of the length of the handwriting area, the Chinese characters are close to each other and stick together The situation ...

AI Technical Summary

Problems solved by technology

[0002] At present, in the field of character processing, handwritten Chinese character segmentation and recognition technology is developing rapidly, its recognition accuracy is gradually improving, its application scenarios are expanding, and its related products are becoming more and more mature. The application effect in the recognition scene is not ideal

[0003] Different from other Chinese handwriting application scenarios, there are fewer types of Chinese characters in uppercase amounts on financial bills. There are about 20 Chinese characters such as one, two, three, four, five, six, seven, etc. Due to the limitation of the length of the handwriting area, the Chinese characters are close to each other and stick together The situation is very common, and when handwriting Chinese characters, the font style varies from person to person, the font size is inconsistent, and phenomena such as continuous strokes and chaotic strokes occur frequently, which makes it very difficult to accurately segment characters

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