A DSmT Based Combination Systems for Handwritten Signature Verification
| Main Authors: | Nassim Abbas, Youcef Chibani, Bilal Hadjadji |
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| Format: | Article Journal |
| Terbitan: |
, 2015
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/21450 |
Daftar Isi:
- The identification or authentication from the handwritten signature is the most accepted biometric modality for identifying a person. However, a single handwritten signature verification (HSV) system does not allow achieving the required performances. Therefore, rather than trying to optimize a single HSV system by choosing the best features or classifier for a given system, researchers found more interesting to combine different systems. In that case, the DSmT is reported as very useful and powerful theoretical tool for enhancing the performance of multimodal biometric systems. Hence, we propose in this chapter a study of applying the DSmT for combining different HSV systems. Two cases are addressed for validating the effective use of the DSmT. The first one is to enhance the performance of off-line HSV systems by associating features based on Radon and Ridgelet transforms for each individual system. The second one is associating off-line image and dynamic information in order to improve the performance of single-source biometric systems and ensure greater security. Experimental results conducted on standard datasets show the effective use of the proposed DSmT based combination for improving the verification accuracy comparatively to individual systems.