مشخصات پژوهش

عنوان	Radon Transform and Dynamic Programming for the Persian Handwritten Zip Code Recognition
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Radon Transform, Dynamic Programming, Optical Character Recognition, Persian Handwritten.
چکیده	Pattern recognition is one of the major research areas in computer sciences. Optical Character Recognition (OCR) as one of the pattern recognition topics has specifically attracted the interests of many researchers. This paper presents a method for offline Persian numeral character recognition. It uses Radon transform for feature extraction and a combination of Dynamic Programming with KNN for its recognition task. For the simulations, the Persian postal zip code database of 800 samples has been employed, providing a recognition accuracy of 94.1%.
پژوهشگران	جلیل راسخی (نفر چهارم)، رضا قادری (نفر سوم)، محمد سفیدگرنیا امیری (نفر دوم)، جمال قاسمی (نفر اول)