Volume : IV, Issue : IX, September - 2015


Satwinder Kaur, Tejinder Thind

Abstract :

Image processing is a technique to extract the important features of an image and use them in desired manner. It helps us to visualize and analyze image in a better way. One of its main applications is Image segmentation in which we divide an image into desirable parts. In this study, Image segmentation is used for the recognition of Punjabi characters as nowadays there is a need of handwritten documents to be used in digital form. In this proposed work, Back propagation algorithm with Neural Networks is used for the character recognition. As neural network is one of the best methods for the recognition of the handwritten characters. Neural network is trained for the recognition of words that then match the input with the dataset and gives effective results.

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Article: Download PDF    DOI : https://www.doi.org/10.36106/gjra  

Cite This Article:

Satwinder Kaur, Tejinder Thind Recognition of Gurmukhi Script Characters Using Image Segmentation Global Journal For Research Analysis, Vol: 4, Issue: 9 September 2015

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