Sanskrit Character Recognition with Improved feed forward BPNN and LSB Matching Patterns
Subtitle: ICCS 2014
Publisher: Association of Scientists, Developers and Faculties
Published: 2014
Place of publication: Bangkok, Thailand
Language: eng
Format: Hardcopy
Number of pages: 309
ISBN-13: 9788192523354
Description: Sanskrit documents recognition provides many innovative ideas and challenges to researchers. Handwritten documents of every person varies in styles and consonants, therefore it is very difficult to recognize the handwritten characters. This paper deals with offline Sanskrit handwritten character recognition with feed forward back propagation neural network.  This paper provides easy and fast use of feature extraction to obtain good performance and high accuracy. Here we presented a new system which significantly improves current handwriting recognition systems and a method for detection of LSB matching in grayscale images.  It also provides differences between neighboring pixels with data embedding for high performance.