Offline Touchless Fingerprint Recognition System Using Novel Algorithm

Touch-less fingerprint recognition system is an alternative to conventional touch-based fingerprint recognition system. Touch-less fingerprint recognition system is differs from conventional system in the way that of use of digitally acquired image at the resolution of 300dpi or more . The conventional fingerprint systems are easy but it suffer from various problems such as hygienic, maintenance and latent fingerprints. In this thesis, I present a reliable solution of touch-less fingerprint recognition systems that uses very high resolution microscopic camera to capture level-2 features of fingerprint like minutiae extraction. Here I faced some challenging problems that occur while developing the touch-less system like are low contrast between the ridge and the valley pattern on fingerprint image, non-uniform lighting, motion blurriness and defocus. The touch-less fingerprint recognition system can be divided into three main steps: preprocessing, feature extraction and matching. In that, Preprocessing is an important step prior to fingerprint feature extraction and matching.

Autorentext

Sujit Ashok Inamdar hat 2016 seinen PG-Abschluss M.E. (ENTC) erworben. Er hat in multinationalen Unternehmen an Projekten im Bankwesen gearbeitet, um der Gesellschaft zu dienen, und sein Interesse gilt der Bildverarbeitung in der biomedizinischen Anwendung. Er arbeitet als Assistenzprofessor am SVERI's College of Engineering in Pandharpur.