Printed font character identification method based on Arabic character set

Abstract

The invention provides a printed font character identification method based on Arabic character set which comprises, extracting region information, character font information, and constituent part information unique for Arabic character set, carrying presorting, determining character class subset of the input character, extracting direction characteristic for reflecting the character stroke composition information, finally employing two steps of characteristic optimization processing including, characteristic dressing, eigen transformation by integrating linear discrimination analysis (LDA) and K-L transformation, finally proceeding categorization judgment through modified quadratic discriminating function (MQDF) statistical classification device.

Description

technical field [0001] A printed character recognition method based on an Arabic character set belongs to the field of character recognition. Background technique [0002] The characters of Uyghur, Kazak, Kirgiz and other ethnic minorities in my country are written using the characters in the Arabic character set system, and the composition rules and changes of writing forms of the characters are consistent with Arabic. Therefore, the recognition of characters such as Uighur, Kazakh, Kirgiz, and Arabic can be processed using a unified method. In the present invention, Uighur, Kazakh, Kirgiz, and Arabic character recognition are collectively referred to as character recognition based on the Arabic character set. Uighur, Kazakh, Kirgiz, Arabic and other characters written in the Arabic character set are composed of 30 to 40 basic letters. Each basic letter has 1-4 different writing forms depending on where it occurs in the word—initial form, middle form, final form, independ...

AI Technical Summary

Problems solved by technology

[0006] The number of character strokes is small and the strokes are mainly composed of arcs, the stroke structure information is not rich and difficult to extract, there are many subsets of similar characters in the character set, the similarity is extremely high, the width and height of the characters are not consistent, and the left and right boundaries of the characters are inconsistent. Characters such as determinism, large font differences between different fonts, some fonts close to cursive handwriting, and small commonly used font sizes have brought great challenges to character recognition research based on Arabic character sets

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