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
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;
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
DOI :
10.1109/ICEIE.2010.5559760
