Fusion of Gabor and co-occurrence texture features for document image regions classification
Publish place: 2nd Joint Congress on Fuzzy and Intelligent Systems
Publish Year: 1387
نوع سند: مقاله کنفرانسی
زبان: English
View: 764
This Paper With 5 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
FJCFIS02_066
تاریخ نمایه سازی: 26 تیر 1392
Abstract:
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.
Keywords:
Authors
M. valizadeh
Department of Electrical Engineering, tarbiat modares university,Tehran, Iran