Publication: Fusion of vein and geometry for finger based biometric system
| datacite.subject.fos | oecd::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
| dc.contributor.author | Seng, Lee Jun | |
| dc.date.accessioned | 2024-10-02T07:04:10Z | |
| dc.date.available | 2024-10-02T07:04:10Z | |
| dc.date.issued | 2012-06-01 | |
| dc.description.abstract | Biometric system is one of the popular identity authentication used for various identity access control purpose. Finger vein authentication is one of the popular unimodal biometric system available in the field of biometrics. Despite there are various advantages offered by finger vein authentication, several inabilities faced by finger vein biometrics had limited its performance and adoption for highly confidential access control application. Hence, a new multimodal biometric system is proposed by fusing finger geometry authentication with finger vein authentication. The proposed multimodal biometric system is able to improve the performance of finger based biometric system to a higher level of accuracy, preciseness and reliability. Implementation of multimodal biometric system in this project involves three stages: implementation of finger geometry biometric system, implementation of finger vein biometric system and score level fusion of finger geometry and finger vein biometric system. In implementation of finger geometry biometric system, finger thickness is used as the biometric feature to be used for matching. The performance of geometry biometric system is under expectation, where the equal error rate (EER) is 40.7024%. While in implementation of finger vein biometric system, Band Limit Phase Only Correlation of the finger vein image is used for matching. The performance of vein biometric system is remarkable, where the EER is as low as 2.2189%. In the last stage, weighted SUM is adopted to fuse the matching scores of finger geometry biometric system and finger vein biometric system. The EER of the fusion of geometry biometric system and vein biometric system is 10.5668%. From xithe results, it is shown that fusion of finger vein recognition and finger geometry recognition is a potential approach to enhance the performance of biometric system. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/20665 | |
| dc.language.iso | en | |
| dc.title | Fusion of vein and geometry for finger based biometric system | |
| dc.type | Resource Types::text::report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |