Signature verification and recognition by using support vector machine
Access is limited to UniMAP community.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Learning Object |
| Language: | English |
| Published: |
Universiti Malaysia Perlis (UniMAP)
2016
|
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41747 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.unimap-41747 |
|---|---|
| record_format |
dspace |
| spelling |
my.unimap-417472016-05-30T05:17:34Z Signature verification and recognition by using support vector machine Aida Nurfarhana, Saidin Dr. Md Mijanur Rahman Signature Biometric techniques Signature recognition system Signature verification Support vector machine (SVM) Access is limited to UniMAP community. Signature is an important biometric of a person that is attribute of a human being which can be used to authenticate human identity. There are lots of biometric techniques that had been represented in the past. A biometric‟s signature verification type had play a very important role in financial, legal transaction and commercial, truly method of authenticating becomes more and more crucial. There are various approaches to signature recognition with a lot of scope of researches. In this project, off- line signature recognition and verification using support vector machine (SVM) is proposed. First, feature vectors are extracted for a reference set of signatures using radon transform. Then, the SVM is trained using a set of genuine and a set of forgery signature. Once trained, the SVM is expected to recognize using an input signature. 2016-05-30T05:17:34Z 2016-05-30T05:17:34Z 2015-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41747 en Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering |
| institution |
Universiti Malaysia Perlis |
| building |
UniMAP Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Malaysia Perlis |
| content_source |
UniMAP Library Digital Repository |
| url_provider |
http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Signature Biometric techniques Signature recognition system Signature verification Support vector machine (SVM) |
| spellingShingle |
Signature Biometric techniques Signature recognition system Signature verification Support vector machine (SVM) Aida Nurfarhana, Saidin Signature verification and recognition by using support vector machine |
| description |
Access is limited to UniMAP community. |
| author2 |
Dr. Md Mijanur Rahman |
| author_facet |
Dr. Md Mijanur Rahman Aida Nurfarhana, Saidin |
| format |
Learning Object |
| author |
Aida Nurfarhana, Saidin |
| author_sort |
Aida Nurfarhana, Saidin |
| title |
Signature verification and recognition by using support vector machine |
| title_short |
Signature verification and recognition by using support vector machine |
| title_full |
Signature verification and recognition by using support vector machine |
| title_fullStr |
Signature verification and recognition by using support vector machine |
| title_full_unstemmed |
Signature verification and recognition by using support vector machine |
| title_sort |
signature verification and recognition by using support vector machine |
| publisher |
Universiti Malaysia Perlis (UniMAP) |
| publishDate |
2016 |
| url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41747 |
| _version_ |
1643799737074188288 |
| score |
13.222552 |