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Parallel genetic algorithm for document image compression optimization

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3 Author(s)
Aysha, V. ; Coll. of Appl. Sci. Pattuvam (IHRD), Kannur Univ., Kannur, India ; Balakrishnan, K. ; Sundar, S.B.

This work proposes a parallel genetic algorithm for compressing scanned document images. A fitness function is designed with Hausdorff distance which determines the terminating condition. The algorithm helps to locate the text lines. A greater compression ratio has achieved with lesser distortion.

Published in:

Electronics and Information Engineering (ICEIE), 2010 International Conference On  (Volume:2 )

Date of Conference:

1-3 Aug. 2010