Downloads: 132 | Views: 311
Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014 | Popularity: 6.1 / 10
A Survey on Optical Character Recognition Techniques
Sarika Pansare, Dhanshree Joshi
Abstract: This paper presents a review on Optical Character Recognition Techniques. Optical Character recognition (OCR) is a technology that allows machines to automatically recognize the characters through an optical mechanism. OCR can be described as Mechanical or electronic conversion of scanned images where images can be handwritten, typewritten or printed text. It converts the images into machine-encoded text that can be used in machine translation, text-to-speech and text mining. Various techniques are available for character recognition in optical character recognition system. This material can be useful for the researchers who wish to work in character recognition area.
Keywords: Character Recognition, machine-encoded, OCR, Translation, Text Mining
Edition: Volume 3 Issue 12, December 2014
Pages: 1247 - 1249
Please Disable the Pop-Up Blocker of Web Browser
Verification Code will appear in 2 Seconds ... Wait