Guoqiang Li

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Automatic fingerprint identification systems (AFIS) are getting prevalent around the world, and the size of fingerprint databases involved in AFIS is continuously growing. Thus, studying fingerprint indexing algorithms is desirable in order to facilitate the search process in alarge-scale database. In this paper,wefirstly propose a feature extraction method(More)
Due to the uniqueness and persistent properties of the biometric fingerprint characteristics, large scale in border control and governmental applications such as the Aadhaar project in India, the Visa Information System (VIS) in Europe and US-VISIT / IDENT system in the USA are based on fingerprint recognition and generally contain millions of fingerprint(More)
We propose an approach to assess the quality of fingerprint samples captured by smartphone cameras under real-life scenarios. Our approach extracts a set of quality features for image blocks. Without needing segmenta-tion, the approach determines a sample's quality by checking all image blocks divided from the sample and for each block a trained support(More)