سال انتشار: ۱۳۸۷

محل انتشار: دومین کنگره مشترک سیستم های فازی و سیستم های هوشمند

تعداد صفحات: ۵

نویسنده(ها):

M. valizadeh – Department of Electrical Engineering, tarbiat modares university,Tehran, Iran
E kabir –
S jalili –

چکیده:

In this work we examine two categories of texture features and several classifiers for document image regions classification. We propose a reliablefeature vector using both Gabor and Co-occurrence texture features which is appropriate for Bayesian classifier. The proposed feature vector is evaluatedover a data base which contains 1000 text regions and 1200 non-text regions. Using Bayesian classifier we obtain true positive=98% and false positive=1.8% for the test set.