… fingerprint recognition schemes enhances their recognition … for fingerprint recognition by
first decomposing a fingerprint … the fingerprint by employing both the global and local features…

… More complex cues are hidden in our environment. The goal of fingerprintbased localization
is to discover these hidden cues and use them effectively to determine the location of a …

… While the primary purpose of a fingerprint recognition system … cues to differentiate a spoof
fingerprint from live fingerprint. We utilize this observation to train a two-class CNN using local …

… automatic fingerprint recognition technology has evolved over the past 40 years, fingerprint
… community that the capability of state-of-the-art fingerprint recognition systems is still not …

… of a convectional fingerprint recognition algorithm can be … field) and local cues (minutiae) to
represent a fingerprint. Similarities … feature level provides better recognition results than other …

… In the fingerprint recognition literature, three types of fingerprint … Then, fingerprint matching
can be done by combining the … (orientation field) and the local cue (minutiae). Efficiency of this …

… These results show that combining multiple features for fingerprint recognition can …
CONCLUSION In this paper, the performance of combining multiple features for fingerprint …

… structure (orientation field) and the local cue (minutiae). Ravi et al. [29] have suggested a
new model to perform the fingerprint recognition using the minutiae score matching (FRMSM). …

… The four main stages of an automated latent fingerprint recognition system are explained
next. … It utilizes the orientation cues of component fingerprints, which are manually marked by …

… recognition but differently from the existing solutions, it takes not only global image appearance
into account, but also the most discriminative local image cues … in biometric recognition …