STUDENT ATTENDANCE SYSTEM USING IRIS DETECTION
P. Lad, S. More, Simran Parkhe
2017
Citations
9
Citations
Journal
International Journal of Advance Research and Innovative Ideas in Education
Semantic Scholar
Key Takeaway Key Takeaway: The iris recognition system accurately detects students' attendance by analyzing their unique iris patterns, occluding eyelids and eyelashes, and adjusting for imaging inconsistencies.
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.