| dc.contributor.author |
Sreeraj, M |
|
| dc.contributor.author |
Sumam, Mary Idicula |
|
| dc.date.accessioned |
2014-07-30T06:02:37Z |
|
| dc.date.available |
2014-07-30T06:02:37Z |
|
| dc.date.issued |
2012-12-07 |
|
| dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/4318 |
|
| dc.description |
India Conference (INDICON), 2012 Annual IEEE |
en_US |
| dc.description.abstract |
The span of writer identification extends to broad
domes like digital rights administration, forensic expert decisionmaking
systems, and document analysis systems and so on. As the
success rate of a writer identification scheme is highly dependent
on the features extracted from the documents, the phase of
feature extraction and therefore selection is highly significant for
writer identification schemes. In this paper, the writer
identification in Malayalam language is sought for by utilizing
feature extraction technique such as Scale Invariant Features
Transform (SIFT).The schemes are tested on a test bed of 280
writers and performance evaluated |
en_US |
| dc.description.sponsorship |
Cochin University of Science and Technology |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.subject |
Codebook |
en_US |
| dc.subject |
Feature extraction |
en_US |
| dc.subject |
Scale Invariant Features Transform (SIFT) |
en_US |
| dc.subject |
Malayalam |
en_US |
| dc.subject |
Writer identification |
en_US |
| dc.title |
The Effect of SIFT Features as Content Descriptors in the Context of Automatic Writer Identification in Malayalam Language |
en_US |
| dc.type |
Article |
en_US |