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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Yong Xia,Zhi-Bo Yang,Kuan-Quan Wang.Chinese Calligraphy Word Spotting Using Elastic HOG Feature and Derivative Dynamic Time Warping[J].Journal of Harbin Institute Of Technology(New Series),2014,(2):21-27.DOI:10.11916/j.issn.1005-9113.2014.02.004.
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Chinese Calligraphy Word Spotting Using Elastic HOG Feature and Derivative Dynamic Time Warping
Author NameAffiliation
Yong Xia School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China 
Zhi-Bo Yang School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China 
Kuan-Quan Wang School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China 
Abstract:
Chinese calligraphy is a very special style of handwriting and direct character recognition is very difficult. Content-based keyword spotting is more feasible than recognition-based retrieval for calligraphy document. In this paper, we propose a novel Elastic Histogram of Oriented Gradient (EHOG) descriptor for calligraphy word spotting. The presented feature is a modification of Histogram of Oriented Gradient (HOG), widely used in human detection. In our approach, the input word image is partitioned into non-uniform rectangular cells according to the calligraphy character pixel intensity, and then in each cell a histogram of orientation is accumulated dynamically. Moreover, we adopt Derivative Dynamic Time Warping (DDTW) for image feature matching, which achieves good performance in gesture recognition. Experiments demonstrate a very significant improvement when comparing our proposed feature with previously developed ones, and also show DDTW produces superior alignments between two calligraphy character feature series than DTW.
Key words:  calligraphy word spotting  Elastic HOG  DDTW
DOI：10.11916/j.issn.1005-9113.2014.02.004
Clc Number:TP391.4
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