A segmentation-driven handwritten uighur word recognition algorithm based on feedback structure

doi:10.1109/ICSESS47205.2019.9040846

	A segmentation-driven handwritten uighur word recognition algorithm based on feedback structure
	Xu, Yamei 1; Xue, Jili 2
	2019-10-01
会议日期	October 18, 2019 - October 20, 2019
会议地点	Beijing, China
关键词	Clustering algorithms Errors Software engineering Vocabulary control Feed-back based Feedback structure Handwriting recognition Merging strategy Off-line handwritten Recognition algorithm Uighur language Word recognition
卷号	2019-October
DOI	10.1109/ICSESS47205.2019.9040846
页码	419-423
英文摘要	Uighur script is cursive in both printed and handwritten forms. For offline handwritten Uighur word, this study proposes a new segmentation-driven recognition algorithm that combines feedback structure and grapheme analysis. Firstly, a handwritten Uighur word is over-segmented into a two-queue grapheme sequence using a MSAC (main segmentation and additional clustering) algorithm. Secondly, a feedback-based grapheme merging strategy is designed to provide the best segmented character sequence and obtain the word recognition result. Three feedback errors accordingly are defined, which are error of grapheme shape, error of character recognition and word matching error. A word recognition rate of 90.82% is obtained during experiments conducted with a database consisting of 11,500 samples. © 2019 IEEE.
会议录	Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS
会议录出版者	IEEE Computer Society
语种	英语
ISSN号	23270586
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/118043]
专题	计算机与通信学院
作者单位	1.Lanzhou University of Technology, School of Compute and Communication, Lanzhou, Gansu Province, China; 2.China Mobile Group Gansu Co., Ltd, Department of Internet Business, Lanzhou, Gansu Province, China
推荐引用方式 GB/T 7714	Xu, Yamei,Xue, Jili. A segmentation-driven handwritten uighur word recognition algorithm based on feedback structure[C]. 见:. Beijing, China. October 18, 2019 - October 20, 2019.