文章基本信息

标题：Script Segmentation of Printed Devnagari and Bangla Languages Document Images OCR
本地全文：下载
作者：Manoj Kumar Shukla ; Tushar Patnaik ; Shrikant Tiwari 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：2(Version 2)
出版社：Ayushmaan Technologies
摘要：In this Paper we focus on the line, word, character segmentation of printed Devnagari and Bangla script document for efficient recognition of the character. Devnagari and Bangla is the most popular script in the world. Script segmentation is very important step in the process of recognition of Indian languages document character. In the performance of script segmentation we have found 100% at line level script segmentation, 100% at world level script segmentation and approximately 100 % at character level segmentation of Devnagari and Bangla script document image after testing.
关键词：Optical Character Recognition; Line Segmentation; Word;Segmentation; Character Segmentation; Zoning.on.