Title :
A novel OCR system for calculating handwritten persian arithmetic expressions
Author :
Khalighi, Sirvan ; Tirdad, Parisa ; Rabiee, Hamid R.
Author_Institution :
Electical & Comput. Dept., Qazvin Azad Univ., Qazvin, Iran
Abstract :
In this paper we propose a novel OCR system which can recognize and calculate handwritten Persian arithmetic expressions without using a keyboard or a memory to store the intermediate results. Our research is composed of two major phases: character recognition and calculation. The recognition phase is based on a new approach for feature extraction. Fuzzy Support Vector Machines (FSVMs) are employed as the classifier. In calculation phase a simple algorithm is used for calculating the recognized arithmetic expression. The performance of the system is evaluated on a database consisting of 3400 digits and symbols written by 20 different people. 92 percent accuracy in recognition proves the good performance of our system.
Keywords :
feature extraction; fuzzy set theory; handwritten character recognition; optical character recognition; performance evaluation; support vector machines; FSVM; OCR system; feature extraction; fuzzy support vector machine; handwritten Persian arithmetic expression; optical character recognition; performance evaluation; Character recognition; Digital arithmetic; Feature extraction; Handwriting recognition; Keyboards; Optical character recognition software; Pattern recognition; Support vector machine classification; Support vector machines; Writing; Digit Recognition; Fuzzy Support Vector Machine (FSVM); Optical Character; Recognition (OCR);
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2009 IEEE International Symposium on
Conference_Location :
Ajman
Print_ISBN :
978-1-4244-5949-0
DOI :
10.1109/ISSPIT.2009.5407555
