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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.
| Autorius: | Sujit A. Inamdar, Akshay Jadhav, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2018 |
| Knygos puslapių skaičius: | 64 |
| ISBN-10: | 6135831089 |
| ISBN-13: | 9786135831085 |
| Formatas: | 220 x 150 x 4 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Offline Touchless Fingerprint Recognition System Using Novel Algorithm“
