Comparative Analysis of Optimized Character Recognition Algoritms

Authors

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

Keywords:

Character, Optical Character Recognition, Text reading, Extract Text from image, Filtering process

Abstract

Character Recognition, specially Optical Character Recognition is the mechanism of converting soft
copy of typed, handwritten or printed text into system encoded text. It is widely used in the area of data reading from
printed papers, whether invoices, passport, personal documents, bank statements, machine generated receipts,
business cards, e-mail, printouts or any suitable documents. It is a approach to extract out printed texts so that it can
be edited on machine and maintained comprehensively in machine either on any kind of storage media, displayed online, useful in processes such as machine translation, text-to-speech, key data and text mining. CR is a field of
research in password matching, handwriting matching and computer vision.

Published

2016-12-31

How to Cite

Asst. Prof. Ravi Khimani, Asst. Prof. Nishant Sanghani, & Asst. Prof. Pooja Vasani. (2016). Comparative Analysis of Optimized Character Recognition Algoritms. International Journal of Advance Research in Engineering, Science & Technology, 3(13), -. Retrieved from http://ijarest.com/index.php/ijarest/article/view/2131