Authors: Jamal Ghasemi; Mohammad Sefidgarnia Amiri; Reza Ghaderi; Jalil Rasekhi
Addresses: Faculty of Engineering and Technology, University of Mazandaran, Babolsar, 4741613534, Iran ' Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, 4714871167, Iran ' Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, 1983969411, Iran ' Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, 4714871167, Iran
Abstract: 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 K-nearest neighbour (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%.
Keywords: radon transform; dynamic programming; OCR; optical character recognition; Persian handwriting recognition; zip code recognition; Persian script; script recognition; postcode recognition; numeral characters; numerals; character recognition; feature extraction; K-nearest neighbour; kNN.
International Journal of Intelligent Systems Technologies and Applications, 2016 Vol.15 No.4, pp.341 - 352
Available online: 26 Oct 2016 *Full-text access for editors Access for subscribers Purchase this article Comment on this article