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.
"synopsis" may belong to another edition of this title.
Mr.Sujit Ashok Inamdar has obtained his PG degree M.E.(ENTC) in 2016. He has worked in MNCs on projects in Banking domain to serve the society.His area of interest is towards use of Image Processing in Bio-medical application. He is serving as Assistant Professor in SVERI's College of Engineering,Pandharpur.
"About this title" may belong to another edition of this title.
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 64 pp. Englisch. Seller Inventory # 9786135831085
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Seller Inventory # zk6135831089
Quantity: 1 available
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Inamdar Sujit A.Mr.Sujit Ashok Inamdar has obtained his PG degree M.E.(ENTC) in 2016. He has worked in MNCs on projects in Banking domain to serve the society.His area of interest is towards use of Image Processing in Bio-medical app. Seller Inventory # 385844379
Quantity: Over 20 available
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Seller Inventory # 9786135831085
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786135831085
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Offline Touchless Fingerprint Recognition System Using Novel Algorithm | Sujit A. Inamdar (u. a.) | Taschenbuch | 64 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786135831085 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 111512800
Seller: Mispah books, Redhill, SURRE, United Kingdom
paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Seller Inventory # ERICA82961358310896