1403/01/10
جمال قاسمی

جمال قاسمی

مرتبه علمی: دانشیار
ارکید:
تحصیلات: دکترای تخصصی
اسکاپوس:
دانشکده: دانشکده مهندسی و فناوری
نشانی:
تلفن: 01135302902

مشخصات پژوهش

عنوان
Radon Transform and Dynamic Programming for the Persian Handwritten Zip Code Recognition
نوع پژوهش
JournalPaper
کلیدواژه‌ها
Radon Transform, Dynamic Programming, Optical Character Recognition, Persian Handwritten.
سال
2016
مجله International Journal of Intelligent Systems Technologies and Applications
شناسه DOI
پژوهشگران Jamal Ghasemi ، Mohammad Sefidgarnia Amiri ، Reza Ghaseri ، Jalil Rasekhi

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%.