標題: Speeding-up Chinese character recognition in an automatic document reading system
作者: Tseng, YH
Kuo, CC
Lee, HJ
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
關鍵字: crossing-count features;contour-direction features;candidate-cluster selection;branch-and-bound method;text-to-speech
公開日期: 1997
摘要: In this paper, we present two techniques for speeding up character recognition. Our character recognition system, including the candidate-cluster selection and detail-matching modules, is implemented using two statistical features: crossing-counts and contour-direction counts. In the training stage, we divide characters into different clusters. To keep very high recognition rate, the candidate-cluster selection module selects the top 60 clusters with minimal distances from among 300 predefined clusters. To further speed-up the recognition speed, we use a modified branch-and-bound algorithm in the detail-matching module. In the automatic document-reading system, characters and punctuation marks are first extracted from printed document images and sorted according to their positions and the document orientation. The system then recognizes all printed Chinese characters between pairs of punctuation marks. The results are then spoken aloud by a speech-synthesis system.
URI: http://hdl.handle.net/11536/19740
ISBN: 0-8186-7899-2
期刊: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2
起始頁: 629
結束頁: 632
Appears in Collections:Conferences Paper