dc.contributor.author |
Win, Zin Mar
|
|
dc.contributor.author |
Sein, Myint Myint
|
|
dc.date.accessioned |
2019-07-03T03:24:54Z |
|
dc.date.available |
2019-07-03T03:24:54Z |
|
dc.date.issued |
2011-05-05 |
|
dc.identifier.uri |
http://onlineresource.ucsy.edu.mm/handle/123456789/139 |
|
dc.description.abstract |
Fingerprint-based identification is one of
the core methodologies for personal
identification. It remains a reliable, efficient and
commonly accepted biometric. We propose a
fingerprint recognition system for identifying the
low quality fingerprint images from inkedprinted
images on paper. Traditional minutia
based approach is not robust to poor quality
fingerprint images. In proposed system, the
texture-based approach for fingerprint
recognition using Discrete Wavelet Transform
(DWT) is developed. The input image is
preprocessed and gabor filtering is applied for
ridge line enhancement. The system finds the
local features of the fingerprint using DWT and
it is compared to the database using Euclidean
distance metric. We trained 150 images and
obtained an overall performance up to 95%.The
effectiveness of the proposed system can be
confirmed through the experimental results. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Ninth International Conference On Computer Applications (ICCA 2011) |
en_US |
dc.subject |
fingerprint recognition |
en_US |
dc.subject |
Discrete Wavelet Transform |
en_US |
dc.subject |
gabor filter |
en_US |
dc.title |
Personal Identification System Based on Fingerprint features |
en_US |
dc.type |
Article |
en_US |