Perspective Rectification and Skew correction incamera-based Farsi Document Images
محل انتشار: هفتمین کنفرانس ماشین بینایی و پردازش تصویر ایران
سال انتشار: 1390
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,357
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شناسه ملی سند علمی:
ICMVIP07_107
تاریخ نمایه سازی: 28 مرداد 1391
چکیده مقاله:
Most of the existing algorithms in rectification ofgeometric distortions in document images are for Latin texts. Thesealgorithms are time consuming and show error for the skew anglesgreater than 40 degrees. Also they can't remove both skew andperspective simultaneously. In this paper, we propose an algorithmthat rectifies perspective and skew in Farsi document images in awide range of angles with an acceptable accuracy. The proposedalgorithm is applied in gray-scale images. First, we use a localthresholding method to extract the binary image adaptively fromthe degraded gray-scale document image. Then, skew angle of theimage is detected and it is rectified by rotation. Finally, we correctperspective in skewed document image with perspectivetransformation. The proposed algorithm can be applied in Latinand Farsi document images with any skew angles and perspectivedistortions. The experimental results confirm the effectiveness ofthe proposed method.
کلیدواژه ها:
نویسندگان
Maryam Golpardaz
Department of Electrical EngineeringKerman UniversityKerman, Iran
Hossein Nezamabadi-Pour
Department of Electrical EngineeringKerman UniversityKerman, Iran