Fast Keyword Spotting in Handwritten Chinese Documents Using Index
YU Geng1, YIN Fei2, CHEN You-Bin1, LIU Cheng-Lin2
1.School of Automation, Huazhong University of Science and Technology, Wuhan 430074 2.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190
Abstract：In document retrieval, high retrieval precision and speed can hardly be achieved simultaneously. A fast keyword spotting method for handwritten Chinese documents is proposed. By this method, keyword spotting is accelerated with accuracy preserved. Firstly, compressed index files are generated from the candidate segmentation recognition lattice of text lines recognition, then keywords are retrieved from the index files. Experimental results on the handwritten Chinese documents database CASIA-HWDB demonstrate the effectiveness of the proposed method. Moreover, it reduces the size of index and the retrieval time.
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2015, Vol. 28 
