Review paper of Character recognition using image processing

Abstract

The paper proposes a system for gesture or hand images recognition to provide a easy method for communication between deaf-dump and vocal people it allow the user to deal with the system in a natural way. The hand can be classified into one of the four gesture classes or one of the four different movement directions. The aim of this paper to develop a system which converts the 32 combination of binary number 25 into decimals and then the decimals number converted into a sign language. In this paper we develop a system by using feature extraction method, HMM ( Hidden Markov Model ), canny edge detector and image processing tool.

Authors and Affiliations

Er. Sarbjeet kaur , Dr. V. K. Banga

Keywords

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  • EP ID EP152048
  • DOI -
  • Views 124
  • Downloads 0

How To Cite

Er. Sarbjeet kaur, Dr. V. K. Banga (2014). Review paper of Character recognition using image processing. International Journal of Computer Science & Engineering Technology, 5(1), 46-49. https://europub.co.uk/articles/-A-152048