Improving Iris Recognition Performance Using Segmentation, Quality Enhancement, Match Score Fusion, and Indexing
By Mayank Vatsa, Richa Singh, Afzel Noore. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), 2008
314 citations recorded by the source corpus.
Subfields: Signal Processing
View Paper: https://www.semanticscholar.org/paper/65f7fd96209310ad2d63ad682efe0e1a9a5bd8cb
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- Adnan Qayyum
- Syed Muhammad Anwar
- Muhammad Majid
- Muhammad Awais
- Majdi R. Alnowami
- Shiv Ram Dubey
- Khansa Rasheed
- Junaid Qadir
Citations in the corpus
- Medical Image Analysis using Convolutional Neural Networks: A Review (2017, background): “ntation is to represent the image in a meaningful form such that it can be conveniently utilized and analyzed. Generally, segmentation is useful in image processing based applications like biometrics [15, 16], contour detection [17], object matching [18] and object recognition [19]. In literature, s”