| dc.contributor.author |
Sharmeen, Dilruba |
|
| dc.date.accessioned |
2010-10-14T06:35:43Z |
|
| dc.date.available |
2010-10-14T06:35:43Z |
|
| dc.date.issued |
2008-01 |
|
| dc.identifier.other |
ID 06310047 |
|
| dc.identifier.uri |
http://hdl.handle.net/10361/508 |
|
| dc.description |
This thesis paper submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science , BRAC University |
en_US |
| dc.description.abstract |
In this thesis a current technique for fingerprint recognition has
been investigated. It includes image preprocessing, feature extraction,
post processing and feature match. For each sub-task some methods like-
Image enhancement, image binarization, image segmentation and some
morphological operations has analyzed. Based on the analysis, an
integrated solution for fingerprint recognition is developed for
demonstration.
The demonstration program has coded using MATLAB 7.1. The
performances have shown by experiments conducted upon a variety of
fingerprint images. Also, the experiments illustrate the key issues of
fingerprint recognition that are consistent with this conversation. |
en_US |
| dc.publisher |
School of Engineering and Computer Science (SECS) , BRAC University |
en_US |
| dc.title |
Fingerprint recognition by minutia matching |
en_US |
| dc.type |
Thesis |
en_US |