Quality-based pattern C2 code score-level fusion in multimodal biometric authentication system using pattern net
Biometrics-based authentication is a most needed activity in a corporate and business world. Genuineness, accuracy and reliability are the most common characteristics of any authentication system. This requires any multimodal unique biometric traits combined with better fusion strategy. This paper have proposed C2-based fusion algorithm for combining the two complicated, unique, minute detailed finger vein and iris images for reduced feature vector extraction. A reduced feature vectors from this C2 algorithm is given to the neural net known as pattern net for pattern matching. The combined strategy is applied for 250 data sets for verification and gives better performance in R2 value, equal error rate, false acceptance rate, etc.
KeywordsComparative competitive code (C2 code) Gabor filter Magnitude code (Magcode) Orientation code (Oricode) Pattern net (PN)
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
This article does not contain any studies with human participants performed by any of the authors. This article does not contain any studies with animals performed by any of the authors.
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