Recognition Technology for Four Arithmetic Operations

Wang Meng (School of Mechanical and Electronic Engineering, Wuhan University of Technology)
Bian Guangrong (Air Force Logistics college)
Zheng Kai (Wuhan University of Technology,)
He Ninghui (Power Science Research Institute of State Grid Ningxia Power Co,)
Zhang Yanlei (Air Force Service College)

TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 15, No 1: March 2017

Numeral recognition is an important research direction in field of pattern recognition, and it has broad application prospects. Aiming at four arithmetic operations of general printed formats, this article adopts a multiple hybrid recognition method and is applied to automatically calculating. This method mainly uses BP neural network and template matching method to distinguish the numerals and operators, in order to increase the operation speed and recognition accuracy. Sample images of four arithmetic operations are extracted from printed books, and they are used for testing the performance of proposed recognition method. The experiments show that the method provides correct recognition rate of 96% and correct calculation rate of 89%.