NDLI: A New Method for Writer Identification and Verification Based on Farsi/Arabic Handwritten Texts

Content Provider	IEEE Xplore Digital Library
Author	Shahabi nejad, F. Rahmati, M.
Copyright Year	2007
Description	Author affiliation: Amirkabir Univ. of Technol., Tehran (Shahabi nejad, F.; Rahmati, M.)
Abstract	Most studies about writer identification are based on English documents and to our knowledge no research has been reported on Farsi or Arabic documents. In this paper, we have proposed a method for off-line writer identification and verification based on Farsi handwriting, which is text-dependent. Based on the idea that has been presented in the previous studies, here we assume handwriting as texture image and after normalization step, the Gabor filters are applied to image and then new features are extracted. Substantially, the property of proposed method is using of the bank of Gabor filters which is appropriate for the structure of Farsi handwritten texts and vision system. Also, a new method for feature extraction from output of Gabor filters is proposed which is based on moments and nonlinear transform. In this paper, with definition a confidence criterion, a new method for writer verification is proposed. Evaluation of other methods and proposed method demonstrates that proposed method achieves better performance on Farsi handwritten from 40 peoples.
Starting Page	829
Ending Page	833
File Size	225348
Page Count	5
File Format	PDF
ISBN	9780769528229
ISSN	15205363
DOI	10.1109/ICDAR.2007.4377031
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-23
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gabor filters Hidden Markov models Writing Feature extraction Information retrieval Data mining Probability distribution Filtering Shape Machine vision
Content Type	Text
Resource Type	Article

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