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In scenarios that are ambitious to protect sensitive data in compliance with privacy regulations, conventional score normalization utilizing large proportions of speaker cohort data is not feasible for existing technology, since the entire cohort data would need to be stored on each mobile device. Hence, in this work we motivate score normalization utilizing deep neural networks. Considering unconstrained...
Smartphone based periocular recognition has received substantial attention from the biometric research community. In this work, we propose a new scheme for the smartphone based periocular recognition. The proposed scheme is based on the texture features extracted from the periocular images using Maximum Response (MR) filters. These texture features are then classified using a deep neural network based...
Fingerprint indexing has been extensively studied, and a number of approaches have been proposed in the literature. However, the vast majority of proposed approaches are based on original fingerprint templates without applying any protection mechanism. Secure fingerprint indexing algorithm has been rarely investigated. This paper presents a secure fingerprint indexing algorithm whose security is enhanced...
Transgender face recognition is gaining increasing attention in the face recognition community because of its potential in real life applications. Despite extensive progress in traditional face recognition domain, it is very challenging to recognize faces under transgender setting. The gender transformation results in significant face variations, both in shape and texture gradually over time. This...
Smartphones and tablet computers are being actively studied for the performance of biometric recognition in visible spectrum. Owing to robust performance of iris recognition, many works have investigated the performance in visible spectrum. Increasing popularity of iris recognition in the visible spectrum has further resulted in using smartphones for the same. The extraction of robust features for...
It is no doubt that fingerprint recognition is the most common biometric modality, which can be used to authenticate the identity of a person. Automatic identification systems based on fingerprint recognition have been extensively deployed in the industrial and forensics area. The performance of these systems relies on the accuracy of the fingerprint comparison algorithm, which is still suffering...
Visible spectrum iris verification has drawn substantial attention due to the feasibility, convenience and also accepted per-formance. This further allows one to perform the iris verification in an unconstrained environment at-a-distance and on the move. The integral part of the visible iris recognition rely on the accurate texture representation algorithm that can effectively capture the uniqueness...
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