Handwriting Recognition using Neural Network

  Shruti Shrikant Kharkar,  Hoshank Jitendra Mali,  Sakshi Satish Gadhari,  Sarang Sunil Shrikhande,  Prof. D.K Chitre

Artficial Intelligence can be said to be as the perception of the environment and to act on the particular environment intelligently.Neural networks is one of the tools of Artificial Intelligence. Neural networks has improved the artificial computing and experience of science for optical character recogniton.The system can be used to recognize the English characters(A-Z,a-z),numerals(0-9) and special characters(#,$,%,^,&,*).We are aiming to implement the system for free handwritten characters,numerals and special characters.Recognition is done by training the neural network enough times using Back Propagation algorithm.We plan to develop offline strategy for detecting the free handwritten characters.

Keywords- Optical character recognition, Neural network, Back propagation algorithm.

Unique Identification Number - IJEDR1704192
Page Number(s) - 1179-1181
Pubished in - Volume 5 | Issue 4 | December 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Shruti Shrikant Kharkar,  Hoshank Jitendra Mali,  Sakshi Satish Gadhari,  Sarang Sunil Shrikhande,  Prof. D.K Chitre,   "Handwriting Recognition using Neural Network", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.1179-1181, December 2017, Available at :http://www.ijedr.org/papers/IJEDR1704192.pdf