Document image binarization by using texture-edge descriptor
Publish place: 14th annual International CSI Computer Conference
Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSICC14_056
تاریخ نمایه سازی: 24 خرداد 1388
Abstract:
In this paper we propose a new approach for text region extraction in camera-captured document images. Texture-Edge Descriptor, TED, is utilized for text region extraction. TED is an 8-bit binary number which its bits are structural. This structural bits and special text region characteristics in document images make TED an appropriate descriptor for text region extraction. Applying well-known water flow method to the text regions extracted by TED, results in fast and good quality document image binarization. Experimental results demonstrate the effectiveness of our method for text region extraction and document image binarization.
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Authors
N Armanfard
Dept of Electrical Engineering, Tarbiat Modarres University
M Valizadeh
Dept of Electrical Engineering, Tarbiat Modarres University
M Komeili
Dept of Electrical Engineering, Tarbiat Modarres University