Computer-based offline handwritten Uyghur word recognition method based on word segmentation

Abstract

A computer-based offline handwritten Uyghur word recognition method based on word segmentation belongs to the word processing technique of word pattern recognition. The method includes the following steps that firstly, according to a Uyghur rule and a morphological structure, a Uygur word character library is built and includes three types of graphemes, namely main bodies, additions and dots; secondly, by segmenting a word image, three grapheme sequences are obtained, and according to the graphemes, different feature extraction and classification devices are designed; finally, through a hierarchical matching model of the graphemes, conjoined segments and words is built through the Bayesian network, reasoning calculation is conducted on grapheme features to obtain the recognition confidencecoefficients of word types, grapheme recognition information and word-formation prior information are mixed, and a word recognition result is obtained. By means of the offline handwritten Uyghur wordrecognition method, Uyghur words which are written unrestrainedly, naturally and smoothly can be robustly recognized, the training type required by the algorithm is fixed, and the expansibility of the algorithm is very high.

Description

technical field [0001] The invention belongs to the word processing technology of character pattern recognition in pattern recognition, specifically belongs to the field of off-line handwritten character recognition, and is used for recognizing off-line handwritten Uighur word images. Background technique [0002] The Uyghur script belongs to the West-Hungarian branch of the Turkic language family of the Altaic language family. It is the language of the Uyghur minority, an important ethnic minority in my country. The processing and recognition of Uyghur is beneficial to the development of information and technology in ethnic areas. The modern Uyghur language is composed of 32 letters. According to the position in the word, each letter can be written in the form of front connection, double connection, back connection, independent writing, etc., and has evolved into a total of 128 characters. Uighur characters have a long history, and the deformation of handwritten characters ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the problem that in the existing Uyghur word recognition technology, the segmentation recognition strategy is prone to character over-segmentation erro

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