A writer identification method based on XGabor and LCS

IEICE Electronics Express

Mohsen Ebrahimi Moghaddam¹  Behzad Helli¹ 

[1] Electrical and Computer Engineering Department, Shahid Beheshti University

关键词: writer identification;    LCS;    Gabor;    XGabor;   

DOI  :  10.1587/elex.6.623

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(11)Cited-By(5)Writer identification is a popular research field in many languages such as English, Persian, Chinese, etc. The approaches of writer identification methods are dependent on the language because different languages letters have different pattern. In this paper, we have presented XGabor filter and proposed a language independent writer identification system. In the feature extraction phase of proposed method, Gabor and XGabor filters are used while in the classification phase, a new classification method is defined that is not based on any kind of distances among feature vectors. The proposed classifier uses the sequence similarity of the Sorted Order of Features (SOF). To measure this similarity, the Longest Common Subsequence (LCS) algorithm is employed. In simulation phase, two databases in different languages have been used. First one consisted of 100 people's Persian handwritings and second one had 30 people's English handwritings. The accuracy of the system was satisfactory in both of them.

【 授权许可】

Unknown