STUDENT ATTENDANCE SYSTEM USING IRIS DETECTION
Abstract & Details
Research Area
COMPUTER ENGINEERING
Keywords
Iris biometrics
Active Camera
User biometrics
Radius Calculation
Authentication
Pattern recognition
Segmentation
Abstract
Iris recognition is regarded as the most reliable and accurate biometric identification system available. Most commercial iris recognition systems use patented algorithms developed by Daugman, and these algorithms are able to produce perfect recognition rates. However, published results have usually been produced under favourable conditions, and there have been no independent trials of the technology. The iris recognition system consists of an automatic segmentation system that is based on the Hough transform, and is able to localise the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region was then normalised into a rectangular block with constant dimensions to account for imaging inconsistencies. Finally, the phase data from 1D Log-Gabor filters was extracted and quantised to four levels to encode the unique pattern of the iris into a bit-wise biometric template.
License
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | PRAJAKTA LAD | D.Y. PATIL COLLEGE OF ENGINEERING, AKURDI, PUNE |
| 2 | SONALI MORE | D.Y. PATIL COLLEGE OF ENGINEERING, AKURDI, PUNE |
| 3 | SIMRAN PARKHE | D.Y. PATIL COLLEGE OF ENGINEERING, AKURDI, PUNE |
| 4 | PRIYANKA NIKAM | D.Y. PATIL COLLEGE OF ENGINEERING, AKURDI, PUNE |
| 5 | DIPALEE CHAUDHARI | D.Y. PATIL COLLEGE OF ENGINEERING, AKURDI, PUNE |
How to Cite
Use the following formats to cite this article in your research.
APA Style
LAD, PRAJAKTA, MORE, SONALI, PARKHE, SIMRAN, NIKAM, PRIYANKA, & CHAUDHARI, DIPALEE (2017). STUDENT ATTENDANCE SYSTEM USING IRIS DETECTION. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 3293-3298.
MLA Style
LAD, PRAJAKTA, et al. "STUDENT ATTENDANCE SYSTEM USING IRIS DETECTION." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 3293-3298.
IEEE Style
PRAJAKTA LAD, SONALI MORE, SIMRAN PARKHE, PRIYANKA NIKAM, and DIPALEE CHAUDHARI, "STUDENT ATTENDANCE SYSTEM USING IRIS DETECTION," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 3293-3298, 2017.
Vancouver Style
LAD PRAJAKTA, MORE SONALI, PARKHE SIMRAN, NIKAM PRIYANKA, CHAUDHARI DIPALEE. STUDENT ATTENDANCE SYSTEM USING IRIS DETECTION. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):3293-3298.
Harvard Style
LAD, PRAJAKTA, MORE, SONALI, PARKHE, SIMRAN, NIKAM, PRIYANKA, & CHAUDHARI, DIPALEE (2017) 'STUDENT ATTENDANCE SYSTEM USING IRIS DETECTION', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 3293-3298.
Chicago Style
LAD, PRAJAKTA, et al. "STUDENT ATTENDANCE SYSTEM USING IRIS DETECTION." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3293-3298.
Turabian Style
LAD, PRAJAKTA, et al. "STUDENT ATTENDANCE SYSTEM USING IRIS DETECTION." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3293-3298.
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