Persian writer identification using extended Gabor filter

被引：0
|
作者：
Helli, Behzad [1 ]
Moghadam, Mohsen Ebrahimi [1 ]
机构：
[1] Shaheed Beheshti Univ Med Sci, Dept Elect & Comp Engn, Tehran, Iran
来源：
IMAGE ANALYSIS AND RECOGNITION, PROCEEDINGS | 2008年 / 5112卷
关键词：
writer identification; Gabor filter; writer verification; handwritten analysis;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Writer identification using handwritten documents is an interesting field in image processing and machine vision. Many researchers have presented methods to do this, but most of these methods are based on English language. In this paper we have presented a method to identify writer of Persian (Farsi) handwritten documents. The proposed method is based on new filter which we called it extended Gabor filter. This method has no constraint on input data and the experimental results showed that the proposed method worked well.
引用
收藏
页码：579 / 586
页数：8
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