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Jamal Ghasemi

Jamal Ghasemi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
Faculty: Faculty of Technology and Engineering
Address:
Phone: 01135302902

Research

Title
Radon Transform and Dynamic Programming for the Persian Handwritten Zip Code Recognition
Type
JournalPaper
Keywords
Radon Transform, Dynamic Programming, Optical Character Recognition, Persian Handwritten.
Year
2016
Journal International Journal of Intelligent Systems Technologies and Applications
DOI
Researchers Jamal Ghasemi ، Mohammad Sefidgarnia Amiri ، Reza Ghaseri ، Jalil Rasekhi

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 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%.