classification of fingerprint,iris and facial sensors |
Author(s): |
| Gursimarpreet Kaur , Department of computer science and applications kurukshetra university kurukshetra; Dr. Sheetal Verma, Department of computer science and applications kurukshetra university kurukshetra; Dr. Chander Kant Verma, Department of computer science and applications kurukshetra university kurukshetra |
Keywords: |
| sensor, optical, infrared wave, multispectral. |
Abstract |
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Biometrics is the science and technology of recognizing individuals based on physiological, behavioral or morphological characteristics. This includes fingerprint, face, gait, iris, hand geometry, signature etc. By using biometric techniques it is possible to establish one’s identity. Biometric system has four main modules i.e. sensor module, feature extraction module, matching module and decision module. Sensor module is the first module so it is very important to have accurate acquisition of data. In this paper classification of fingerprint, iris and facial sensors are discussed. There are some parameters (Area, resolution, SN ratio, motion blur etc.) of these sensors which is also included. Sensors also encounter some challenges (interoperability, noisy data, spoof attacks etc). Finally list of most deployed sensors in market are given along with parameters. |
Other Details |
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Paper ID: IJSRDV2I3681 Published in: Volume : 2, Issue : 3 Publication Date: 01/06/2014 Page(s): 1837-1844 |
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