Machine Learning Techniques for Fingerprint Identification: A Short Review
作者： Ali Ismail Awad , None
DOI: 10.1007/978-3-642-35326-0_52
关键词: Matching (statistics) 、 Biometrics 、 Machine learning 、 Artificial intelligence 、 Ground truth 、 Fingerprint 、 Reliability (computer networking) 、 Computer science 、 Fingerprint image 、 Feature extraction 、 Implementation
摘要: Fingerprint is considered as a dominant biometric trait due to its acceptability, reliability, high security level and low cost. Due the demand on fingerprint identification system deployments, lot of challenges are keep arising in each system’s phase including image enhancement, feature extraction, features matching classification. Machine learning techniques introduce non traditional solutions challenges. This paper presents short survey that emphasizes implementations basic machine notions for compensating some problems. contributes ground truth developing based algorithms near future.
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