Quality Measures of Fingerprint Images
作者： LinLin Shen , Alex Kot , WaiMun Koo
关键词: Computer vision 、 Gabor filter 、 Image processing 、 Image quality 、 Block (data storage) 、 Pattern recognition (psychology) 、 Biometrics 、 Artificial intelligence 、 Fingerprint 、 Computer science 、 Feature extraction 、 Pattern recognition
摘要: In an automatic fingerprint identification system, it is desirable to estimate the image quality of before processed for feature extraction. This helps in deciding on type enhancements that are needed and thresholds matcher case dynamic used. this paper, we propose a Gabor-feature based method determining images. An divided into N w?wblocks. Gabor features each block computed first, then standard deviation m used determine block. The results compared with existing model estimation. Our analysis shows our can accurately.
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