Image Quality Measures for Fingerprint Image Enhancement
作者： Chaohong Wu , Sergey Tulyakov , Venu Govindaraju
DOI: 10.1007/11848035_30
关键词:
摘要: Fingerprint image quality is an important factor in the performance of Automatic Identification Systems(AFIS). It used to evaluate system performance, assess enrollment acceptability, and fingerprint sensors. This paper presents a novel methodology for measurement. We propose limited ring-wedge spectral measure estimate global features, inhomogeneity with directional contrast local features. Experimental results demonstrate effectiveness our proposal.
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