A Deep Review and State-of-the-art Performance on Fingerprint Liveness Detection Databases

The need of effective Fingerprint Liveness Detection (FLD) has been arising due to advancements in spoofing fingerprint. The literature has been reported with numerous FLD techniques, which have been experimented on different datasets. However, the literature lags on deep details of benchmark databa...

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Bibliographic Details
Published in2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) pp. 469 - 475
Main Authors Rajakumar, B. R, Amala Shanthi, S
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.10.2022
Subjects
benchmark
Benchmark testing
biometric
Fingerprint
Fingerprint recognition
Image resolution
Image sensors
liveness detection
Sensors
spoofs
Training
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Summary:The need of effective Fingerprint Liveness Detection (FLD) has been arising due to advancements in spoofing fingerprint. The literature has been reported with numerous FLD techniques, which have been experimented on different datasets. However, the literature lags on deep details of benchmark databases and own databases of researchers. This poses a challenge to researchers in contributing and experimenting FLD techniques in a common platform. Hence, this paper extensively reviews the databases that have been used in the literature in the past decade. The review discusses the characteristics of the databases, volume of images and image acquisition environment. In addition, this review paper presents the state-of-the-art performance achieved on FLD databases and the methodology used to achieve them.
DOI:10.1109/ICOSEC54921.2022.9951934