Call For Paper Volume:4 Issue:10 Oct'2017 |

CHARACTER RECOGNITION USING NEURAL NETWORK WITHOUT FEATURE EXTRACTION

Publication Date : 31/01/2015



Author(s) :

Nikhil Inamdar , Gurupriy Inamdar , Subrahmnya K N.


Volume/Issue :
Volume 2
,
Issue 1
(01 - 2015)



Abstract :

Handwriting recognition has been one of the active and challenging research areas in the field of pattern recognition. It has numerous applications which include, reading aid for blind, bank cheques and conversion of any hand written document into structural text form[1]. As there are no sufficient number of works on Indian language character recognition especially Kannada script among 15 major scripts in India[2].In this paper an attempt is made to recognize handwritten Kannada characters using Feed Forward neural networks. A handwritten kannada character is resized into 60x40 pixel.The resized character is used for training the neural network. Once the training process is completed the same character is given as input to the neural network with different set of neurons in hidden layer and their recognition accuracy rate for different kannada characters has been calculated and compared. The results show that the proposed system yields good recognition accuracy rates comparable to that of other handwritten character recognition systems.


No. of Downloads :

66


Indexing

Web Design MymensinghPremium WordPress ThemesWeb Development

CHARACTER RECOGNITION USING NEURAL NETWORK WITHOUT FEATURE EXTRACTION

January 10, 2015