International Journal of Engineering and Management Research (IJEMR)
  • Year: 2017
  • Volume: 7
  • Issue: 2

Optical Character Recognition (OCR)

  • Author:
  • Atul Pandey1, Vivek Sharma1, Shruti Paanchbhai1, Neha Hedaoo1, S.D. Zade2
  • Total Page Count: 3
  • Page Number: 159 to 161

1B.E Final Year Student, Department of Computer Science and Engineering, Priyadarshini Institute of Engineering and Technology, Nagpur, India

2Assistant Professor, Department of Computer Science and Engineering, Priyadarshini Institute of Engineering and Technology, Nagpur, India

Online published on 31 October, 2017.

Abstract

This paper presets a review on the optical character recognition techniques. The optical character recognition is a mobile application. It uses smart mobiles phones of android platform. The objective is to develop user friendly application performs images to editable text. The OCR takes images as the input, and gives the plain text (editable text) as the output. Our proposed algorithm was based on Tesseract library. This system can be useful in various applications like banking, legal industry, other industries, print media and home and office automation. In this paper, OCR technology and android phone with higher quality camera is being used to recognize the characters.

Keywords

OCR, Tesseract, Character Recognition, camera, document, editable