NDLI: A novel method for offline handwriting-based writer identification

Content Provider	IEEE Xplore Digital Library
Author	Zhenyu He Bin Fang Jianwei Du Yuan Yan Tang Xinge You
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Hong Kong Baptist Univ., China (Zhenyu He; Bin Fang)
Abstract	Handwriting-based writer identification is a hot research topic in the pattern recognition field. Nowadays, online handwriting-based writer identification is steadily growing toward its maturity. On the contrary, offline handwriting-based writer identification still remains as a challenging problem because writing features only can be extracted from the handwriting image in this situation. As a result, plenty of dynamic writing information, which is very valuable for writer identification, is lost. At present, 2D Gabor filter method is widely acknowledged as a good method for offline handwriting identification, however it still suffers from some inherent disadvantages, such as the high computational cost. In this paper, we present a novel wavelet-based GGD method to replace the traditional 2D Gabor filters. Shown in our experiments, this novel method not only achieves better experiment results but also greatly reduces the elapsed time on calculation.
Starting Page	242
Ending Page	246
File Size	306187
Page Count	5
File Format	PDF
ISBN	0769524206
ISSN	15205263
DOI	10.1109/ICDAR.2005.27
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-31
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Writing Pattern recognition Transducers Feature extraction Computer science Mathematics Gabor filters Helium Physics computing Petrochemicals
Content Type	Text
Resource Type	Article

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