| dc.contributor.author |
Kannan, Balakrishnan |
|
| dc.contributor.author |
Aysha, V |
|
| dc.contributor.author |
Babu, Sundar S |
|
| dc.date.accessioned |
2014-07-22T07:16:43Z |
|
| dc.date.available |
2014-07-22T07:16:43Z |
|
| dc.date.issued |
2010 |
|
| dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/4215 |
|
| dc.description |
2010 International Conference on Electronics and Information Engineering (ICEIE 2010) vol 2,V2-483-V2-487 |
en_US |
| dc.description.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 |
en_US |
| dc.description.sponsorship |
CUSAT |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.subject |
Parallel genetic algorithm |
en_US |
| dc.subject |
compression |
en_US |
| dc.subject |
document image |
en_US |
| dc.subject |
compression ratio |
en_US |
| dc.subject |
fitness function |
en_US |
| dc.title |
Parallel Genetic Algorithm for Document Image Compression Optimization |
en_US |
| dc.type |
Article |
en_US |