[图书][B] Handbook of fingerprint recognition
Biometric recognition, or simply biometrics, refers to the use of distinctive anatomical and/or
behavioral characteristics or identifiers (eg, fingerprints, face, iris, voice, and hand geometry) …
behavioral characteristics or identifiers (eg, fingerprints, face, iris, voice, and hand geometry) …
Masterprint: Exploring the vulnerability of partial fingerprint-based authentication systems
This paper investigates the security of partial fingerprint-based authentication systems,
especially when multiple fingerprints of a user are enrolled. A number of consumer …
especially when multiple fingerprints of a user are enrolled. A number of consumer …
Fingerprint matching, spoof and liveness detection: classification and literature review
SF Ali, MA Khan, AS Aslam - Frontiers of Computer Science, 2021 - Springer
Fingerprint matching, spoof mitigation and liveness detection are the trendiest biometric
techniques, mostly because of their stability through life, uniqueness and their least risk of …
techniques, mostly because of their stability through life, uniqueness and their least risk of …
Latent fingerprint matching: A survey
Latent fingerprint has been used as evidence in the court of law for over 100 years.
However, even today, a completely automated latent fingerprint system has not been …
However, even today, a completely automated latent fingerprint system has not been …
Fingerprint matching with localized deep representation
Compared to minutia-based fingerprint representations, fixed-length representations are
attractive due to simple and efficient matching. However, fixed-length fingerprint …
attractive due to simple and efficient matching. However, fixed-length fingerprint …
Separating the real from the synthetic: minutiae histograms as fingerprints of fingerprints
C Gottschlich, S Huckemann - IET Biometrics, 2014 - Wiley Online Library
In this study, the authors show that by the current state‐of‐the‐art synthetically generated
fingerprints can easily be discriminated from real fingerprints. They propose a non …
fingerprints can easily be discriminated from real fingerprints. They propose a non …
Biometric system for identification and authentication
F Belhadj - 2017 - hal.science
Biometrics is widely used in identification systems to improve their security. The leading
modality is fingerprint thanks to its wide user's acceptability, accuracy, security as well as to …
modality is fingerprint thanks to its wide user's acceptability, accuracy, security as well as to …
Mathematical model for the probabilistic minutia distribution in biometric fingerprint images
S Rassomakhin, A Kuznetsov, V Shlokin… - 2018 IEEE Second …, 2018 - ieeexplore.ieee.org
Mathematical Model for the Probabilistic Minutia Distribution in Biometric Fingerprint Images
Page 1 IEEE Second International Conference on Data Stream Mining & Processing August …
Page 1 IEEE Second International Conference on Data Stream Mining & Processing August …
Kernel approach for similarity measure in latent fingerprint recognition
S Kumar, RL Velusamy - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
The Recognition of Fingerprint is one of the fundamental problems in the field of pattern
recognition. Unfortunately, accuracy of Latent fingerprint matching is still difficult implication …
recognition. Unfortunately, accuracy of Latent fingerprint matching is still difficult implication …
Palm‐Print Pattern Matching Based on Features Using Rabin‐Karp for Person Identification
S Kanchana, G Balakrishnan - The Scientific World Journal, 2015 - Wiley Online Library
Palm‐print based individual identification is regarded as an effectual method for identifying
persons with high confidence. Palm‐print with larger inner surface of hand contains many …
persons with high confidence. Palm‐print with larger inner surface of hand contains many …