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复杂背景图像中维吾尔文字切分与识别技术的研究

阿地力·依米提 刘吉超 杜力坤·苏来曼

新疆师范大学学报(自然科学版)Issue(1):65-68,4.
新疆师范大学学报(自然科学版)Issue(1):65-68,4.

复杂背景图像中维吾尔文字切分与识别技术的研究

Study on Character Segmentation and Recognition Technology of Uyghur in Image with Complex Background

阿地力·依米提 1刘吉超 1杜力坤·苏来曼1

作者信息

  • 1. 新疆师范大学 物理与电子工程学院,新疆 乌鲁木齐 830054
  • 折叠

摘要

Abstract

Character recognition is one of the research directions of the image processing and pattern recognition .This paper presents a Uyghur character segmentation and recognition method in image with complex background .According to the structural features of Uyghur alphabet ,we analyzed the Uyghur text segmentation carefully .Through studied on the edge characteristics and strokes distribution of Uy-ghur ,the better segmentation method has been put forward .Combined with the specific rule of Uyghur , the structural characteristics were extracted by the surrounding structure recognition methods of Uighur . Minkowski distance is calculated to find the nearest category and the recognition result is output at last .

关键词

切分/识别/维吾尔文/结构特征

Key words

Uyghur/Structural features/Segmentation/Recognition

分类

信息技术与安全科学

引用本文复制引用

阿地力·依米提,刘吉超,杜力坤·苏来曼..复杂背景图像中维吾尔文字切分与识别技术的研究[J].新疆师范大学学报(自然科学版),2014,(1):65-68,4.

基金项目

新疆少数民族科技人才特殊培养计划科研资助项目 ()

新疆师范大学学报(自然科学版)

1008-9659

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