DocumentCode
1852963
Title
Parallel genetic algorithm for document image compression optimization
Author
Aysha, V. ; Balakrishnan, Kannan ; Sundar, Babu S.
Author_Institution
Coll. of Appl. Sci. Pattuvam (IHRD), Kannur Univ., Kannur, India
Volume
2
fYear
2010
fDate
1-3 Aug. 2010
Abstract
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.
Keywords
document image processing; genetic algorithms; image coding; Hausdorff distance; document image compression optimization; parallel genetic algorithm; Artificial neural networks; Biological cells; Image coding; Image color analysis; Image segmentation; Indexes; Parallel genetic algorithm; compression; compression ratio; document image; fitness function;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Information Engineering (ICEIE), 2010 International Conference On
Conference_Location
Kyoto
Print_ISBN
978-1-4244-7679-4
Electronic_ISBN
978-1-4244-7681-7
Type
conf
DOI
10.1109/ICEIE.2010.5559760
Filename
5559760
Link To Document