Radon transform and dynamic programming for the Persian handwritten zip code recognition

被引：0
|
作者：
Ghasemi J. [1 ]
Amiri M.S. [2 ]
Ghaderi R. [3 ]
Rasekhi J. [2 ]
机构：
[1] Faculty of Engineering and Technology, University of Mazandaran, Babolsar
[2] Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol
[3] Faculty of Electrical Engineering, Shahid Beheshti University, Tehran
来源：
Ghasemi, Jamal (j.ghasemi@umz.ac.ir) | 1600年 / Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 15期
关键词：
Dynamic programming; OCR; Optical character recognition; Persian handwritten; Radon transform;
D O I：
10.1504/IJISTA.2016.080105
中图分类号：
学科分类号：
摘要：
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%. © Copyright 2016 Inderscience Enterprises Ltd.
引用
收藏
页码：341 / 352
页数：11
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