Publication: Online signature verification using neural network and pearson correlation features
| dc.citedby | 16 | |
| dc.contributor.author | Iranmanesh V. | en_US |
| dc.contributor.author | Ahmad S.M.S. | en_US |
| dc.contributor.author | Wan Adnan W.A. | en_US |
| dc.contributor.author | Malallah F.L. | en_US |
| dc.contributor.author | Yussof S. | en_US |
| dc.contributor.authorid | 56047920000 | en_US |
| dc.contributor.authorid | 24721182400 | en_US |
| dc.contributor.authorid | 6506665562 | en_US |
| dc.contributor.authorid | 56102103900 | en_US |
| dc.contributor.authorid | 16023225600 | en_US |
| dc.date.accessioned | 2023-12-28T04:13:07Z | |
| dc.date.available | 2023-12-28T04:13:07Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | In this paper, we proposed a method for feature extraction in online signature verification. We first used signature coordinate points and pen pressure of all signatures, which are available in the SIGMA database. Then, Pearson correlation coefficients were selected for feature extraction. The obtained features were used in back-propagation neural network for verification. The results indicate an accuracy of 82.42%. � 2013 IEEE. | en_US |
| dc.description.nature | Final | en_US |
| dc.identifier.ArtNo | 6735040 | |
| dc.identifier.doi | 10.1109/ICOS.2013.6735040 | |
| dc.identifier.epage | 21 | |
| dc.identifier.scopus | 2-s2.0-84897734529 | |
| dc.identifier.spage | 18 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897734529&doi=10.1109%2fICOS.2013.6735040&partnerID=40&md5=7cea48393ee9bec71044524f58f694bc | |
| dc.identifier.uri | https://irepository.uniten.edu.my/handle/123456789/29444 | |
| dc.pagecount | 3 | |
| dc.publisher | IEEE Computer Society | en_US |
| dc.relation.ispartof | All Open Access; Green Open Access | |
| dc.source | Scopus | |
| dc.sourcetitle | 2013 IEEE Conference on Open Systems, ICOS 2013 | |
| dc.subject | Feature extraction | |
| dc.subject | Neural network | |
| dc.subject | Online signature verification | |
| dc.subject | Pattern recognition | |
| dc.subject | Pearson correlation coefficients | |
| dc.subject | Feature extraction | |
| dc.subject | Neural networks | |
| dc.subject | Pattern recognition | |
| dc.subject | Back propagation neural networks | |
| dc.subject | On-line signature verification | |
| dc.subject | Pearson correlation | |
| dc.subject | Pearson correlation coefficients | |
| dc.subject | Pen-pressure | |
| dc.subject | Correlation methods | |
| dc.title | Online signature verification using neural network and pearson correlation features | en_US |
| dc.type | Conference paper | en_US |
| dspace.entity.type | Publication |