Fingerprint pattern classification
Pattern Recognition
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
A New Mixed-Mode Biometrics Information Fusion Based-on Fingerprint, Hand-geometry and Palm-print
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
A multimodal technique for an embedded fingerprint recognizer in mobile payment systems
Mobile Information Systems - Advances in Mobile Communications and Computing
A New Gabor Phase Difference Pattern for Face and Ear Recognition
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Fuzzy fusion in multimodal biometric systems
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Efficient iris recognition by characterizing key local variations
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Fuzzy techniques for access and data management in home automation environments
Journal of Mobile Multimedia
International Journal of Intelligent Information and Database Systems
Applied Computational Intelligence and Soft Computing
On optimal operator for combining left and right sole pressure data in biometrics security
Advances in Fuzzy Systems
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The basic aim of a biometric identification system is to discriminate automatically between subjects in a reliable and dependable way, according to a specific-target application. Multimodal biometric identification systems aim to fuse two or more physical or behavioral traits to provide optimal False Acceptance Rate (FAR) and False Rejection Rate (FRR), thus improving system accuracy and dependability. In this paper, an innovative multimodal biometric identification system based on iris and fingerprint traits is proposed. The paper is a state-of-the-art advancement of multibiometrics, offering an innovative perspective on features fusion. In greater detail, a frequency-based approach results in a homogeneous biometric vector, integrating iris and fingerprint data. Successively, a hamming-distance-based matching algorithm deals with the unified homogenous biometric vector. The proposed multimodal system achieves interesting results with several commonly used databases. For example, we have obtained an interesting working point with FAR = 0% and FRR = 5.71% using the entire fingerprint verification competition (FVC) 2002 DB2B database and a randomly extracted same-size subset of the BATH database. At the same time, considering the BATH database and the FVC2002 DB2A database, we have obtained a further interesting working point with FAR = 0% and FRR = 7.28% ÷ 9.7%.