| Title | Do We Have to Trust the Deep Learning Methods for Palmprints Identification? |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Meraoumia, Abdallah, Laimeche, Lakhdar, Bendjenna, Hakim, Chitroub, Salim |
| Conference Name | Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence |
| Date Published | November 2016 |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4876-8 |
| Keywords | biometrics, data fusion, Deep Learning, Metrics, Multispectral palmprint, PCANet, pubcrawl, Resiliency, Scalability, security, Visible Light Communications Security |
| Abstract | A biometric technology is an emerging field of information technology which can be used to identifying identity of unknown individual based on some characteristics derived from specific physiological and/or behavioral characteristics that the individual possesses. Thus, among several biometric characteristics, which can be derived from the hand, palmprint has been effectively used to improve identification for last years. So far, majority of research works on this biometric trait are fundamentally based on a gray-scale image which acquired using a visible light. Recently, multispectral imaging technology has been used to make the biometric system more efficient. In this work, in order to increase the discriminating ability and the classification system accuracy, we propose a multimodal system which each spectral band of palmprint operates separately and their results are fused at matching score level. In our study, each spectral band is represented by features extracted by PCANet deep learning technique. The proposed scheme is validated using the available CASIA multispectral palmprint database of 100 users. The obtained results showed that the proposed method is very efficient, which can be improved the accuracy rate. |
| URL | https://dl.acm.org/doi/10.1145/3038884.3038898 |
| DOI | 10.1145/3038884.3038898 |
| Citation Key | meraoumia_we_2016 |
Do We Have to Trust the Deep Learning Methods for Palmprints Identification?