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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol.4(4): 371-375 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.439

Fusion of Face and Fingerprint for Robust Personal Verification System

Norsalina Hassan, Dzati Athiar Ramli, and Shahrel Azmin Suandi
Abstract—Personal verification system that uses a single biometric trait often faces numerous limitations such as noisy sensor data, non-universality, non-distinctiveness and spoof attack. These limitations can be overcome by multimodal biometric systems that consolidate the evidence presented by multiple biometric sources and typically has better recognition performance compared to systems based on a single biometric modality. This study proposes fusion of face and fingerprint for robust recognition system. The integration is performed at the matching score level. The matching tasks for both modalities are carried out by using support vector machines (SVM) as the classifier. Experiments on face expression and fingerprint database show that the performances of multimodal biometric system provide better recognition compared to single biometric modality. Based on the fusion techniques evaluated, trait-specific weight was found to be highly effective than the sum rule-based fusion. Equal error rate (EER) percentage for face- only and fingerprint- only systems are 2.50% and 5.56%, respectively, while the EER for system using sum rule- based fusion and system using trait-specific weights are 0.833% and 0.340%, respectively.

Index Terms—Multi-modal, sum-rule and trait-specific, face and fingerprint biometrics.

Norsalina Hassan was with Intelligent Biometric Group, School of Electrical & Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300, Nibong Tebal, Pulau Pinang, Malaysia. She is currently with the Mathematic, Science & Computer Department, Politeknik Seberang Perai, Jalan Permatang Pauh, 13500 Permatang Pauh, Pulau Pinang, Malaysia (e-mail: nuhanafeesa@yahoo.com).
Dzati Athiar Ramli and Shahrel Azmin Suandi are with the Intelligent Biometric Group, School of Electrical & Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300, Nibong Tebal, Pulau Pinang, Malaysia (e-mail: dzati@usm.my, shahrel@usm.my).

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Cite: Norsalina Hassan, Dzati Athiar Ramli, and Shahrel Azmin Suandi, "Fusion of Face and Fingerprint for Robust Personal Verification System," International Journal of Machine Learning and Computing vol.4, no. 4, pp. 371-375, 2014.

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