Analysis and Implementation Optical Character Recognition using Template Matching

Authors

  • Asst. Prof. Ravi J Khimani Computer Science & Engineering, SLTIET, Rajkot
  • Asst. Prof. Nishant S Sanghani Computer Science & Engineering, SLTIET, Rajkot
  • Asst. Prof. Pooja P Vasani Computer Engineering, AITS, Rajkot

Keywords:

OCR, Character Recognition, Filtering Process, Acquisition Process, Clustering image, Alphabet

Abstract

Optical Character Recognition is one of the most successful applications of technology in the field of
pattern recognition and artificial intelligence. It deals with recognizing optically processed characters. OCR by using
Template Matching is a system prototype that useful to recognize the character or alphabet by comparing two images
of the alphabet. This system prototype has its own scopes which are using Template Matching as the algorithm that
applied to recognize the characters, characters to be tested are alphabet (A – Z), grey-scale images were used with
Times New Roman font type and recognizing the alphabet by comparing between two images. The processes are
starting from the acquisition process, filtering process, threshold the image, clustering the image of alphabet and
lastly recognize the alphabet.

Published

2016-12-31

How to Cite

Asst. Prof. Ravi J Khimani, Asst. Prof. Nishant S Sanghani, & Asst. Prof. Pooja P Vasani. (2016). Analysis and Implementation Optical Character Recognition using Template Matching. International Journal of Advance Research in Engineering, Science & Technology, 3(13), -. Retrieved from https://ijarest.com/index.php/ijarest/article/view/2193