An intelligent approach for fingerprint presentation attack detection using ensemble learning with improved local image features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11254-8.pdf
Reference69 articles.
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2. Agarwal D, Bansal A (2020) Fingerprint liveness detection through fusion of pores perspiration and texture features. J King Saud Univ Comput Inf Sci 0–9
3. Agarwal S, Chowdary CR (2019) A-Stacking and A-Bagging: Adaptive versions of ensemble learning algorithms for spoof fingerprint detection. Expert Syst Appl 113160
4. Alshdadi A, Mehboob R, Dawood H, Alassafi MO, Alghamdi R, Dawood H (2020) Exploiting Level 1 and Level 3 features of fingerprints for liveness detection. Biomed Signal Process Control 61:102039
5. Baldisserra D, Franco A, Maio D, Maltoni D, Bologna U (2006) Fake Fingerprint Detection by Odor Analysis. In: Z D, J AK (eds) Advances in Biometrics. ICB 2006. Lecture Notes in Computer Science. Springer, Berlin, Heidelberg, pp 265–272
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