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Unconstrained Biometric Recognition: Summary of Recent SOCIA Lab. Research

2020/01/27 by Varsha Balakrishnan, Balakrishnan, Varsha
Computer Science · #Biometric Identification and Security #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #User Authentication and Security Systems

paper · pdf · doi:10.48550/arxiv.2001.09703

openalex publication_date 2020/01/27 · openalex created_date 2020/01/30 · openalex updated_date 2026/07/28

Abstract

The development of biometric recognition solutions able to work in visual surveillance conditions, i.e., in unconstrained data acquisition conditions and under covert protocols has been motivating growing efforts from the research community. Among the various laboratories, schools and research institutes concerned about this problem, the SOCIA: Soft Computing and Image Analysis Lab., of the University of Beira Interior, Portugal, has been among the most active in pursuing disruptive solutions for obtaining such extremely ambitious kind of automata. This report summarises the research works published by elements of the SOCIA Lab. in the last decade in the scope of biometric recognition in unconstrained conditions. The idea is that it can be used as basis for someone wishing to entering in this research topic.

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