Fragmented edge structure coding for Chinese writer identification

As a branch of biometrics, handwriting-based writer identification is an active research topic in pattern recognition. This paper presents a theoretically very simple, yet efficient, multiresolution approach to off-line, text-independent Chinese writer identification based on edge structure code (ESC) distribution feature and nonparametric discrimination of sample. ESC distribution feature is based on probability distribution function, which characterizes the frequent structures distribution of edge fragments on multiple scales. Experiments were conducted on an open HIT-MW database which is widely used for performance evaluation. Experimental results show that the proposed method was able to improve the identification accuracy.

[1]  Adel M. Alimi,et al.  Recovery of temporal information from off-line Arabic handwritten , 2005, The 3rd ACS/IEEE International Conference onComputer Systems and Applications, 2005..

[2]  Marcus Liwicki,et al.  A writer identification system for on-line whiteboard data , 2008, Pattern Recognit..

[3]  Eric O. Postma,et al.  Improving automatic writer identification , 2005, BNAIC.

[4]  Réjean Plamondon,et al.  Automatic signature verification and writer identification - the state of the art , 1989, Pattern Recognit..

[5]  Tianwen Zhang,et al.  Corpus-based HIT-MW database for offline recognition of general-purpose Chinese handwritten text , 2007, International Journal of Document Analysis and Recognition (IJDAR).

[6]  Mohsen Ebrahimi Moghaddam,et al.  Persian Writer Identification Using Extended Gabor Filter , 2008, ICIAR.

[7]  Konstantinos N. Plataniotis,et al.  Regularized discriminant analysis for the small sample size problem in face recognition , 2003, Pattern Recognit. Lett..

[8]  Tonghua Su,et al.  HIT-MW Dataset for Offline Chinese Handwritten Text Recognition , 2006 .

[9]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[10]  Louis Vuurpijl,et al.  Writer identification using edge-based directional features , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[11]  Tieniu Tan,et al.  Personal identification based on handwriting , 2000, Pattern Recognit..

[12]  Mohsen Ebrahimi Moghaddam,et al.  A writer identification method based on XGabor and LCS , 2009, IEICE Electron. Express.

[13]  Nicole Vincent,et al.  Writer Identification in Handwritten Documents , 2007 .

[14]  Zhenyu He,et al.  Writer identification using fractal dimension of wavelet subbands in gabor domain , 2010, Integr. Comput. Aided Eng..

[15]  Zhenyu He,et al.  Writer identification using global wavelet-based features , 2008, Neurocomputing.

[16]  Sung-Hyuk Cha,et al.  Individuality of handwriting: a validation study , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[17]  Thierry Paquet,et al.  Handwritten text recognition through writer adaptation , 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

[18]  Yuan Yan Tang,et al.  Wavelet Domain Local Binary Pattern Features For Writer Identification , 2010, 2010 20th International Conference on Pattern Recognition.

[19]  Zhenyu He,et al.  Writer identification of Chinese handwriting documents using hidden Markov tree model , 2008, Pattern Recognit..

[20]  Anil K. Jain,et al.  Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  Lambert Schomaker,et al.  Text-Independent Writer Identification and Verification Using Textural and Allographic Features , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[22]  Matti Pietikäinen,et al.  A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..

[23]  Nicole Vincent,et al.  Writers authentication and fractal compression , 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

[24]  Lambert Schomaker,et al.  Advances in Writer Identification and Verification , 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

[25]  Mohammad Rahmati,et al.  A New Method for Writer Identification of Handwritten Farsi Documents , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[26]  Thierry Paquet,et al.  Information retrieval based writer identification , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..