Feature Extraction and Pupil Detection Algorithm Used for Iris Biometric Authentication System
Vanajaroselin Chirchi, Laxman Madhavrao Waghmare · International Journal of Signal Processing Image Processing and Pattern Recognition · 2013
Iris biometric is most mature and secure authentication system as compared to other systems.Other authentication system does exist apart from biometrics such as PIN, password etc., which are not secure and more vulnerable to attacks and can be hacked or spoofed easily.Using, Iris biometric we can enhance overall performance in terms of accuracy, which is possible if and only if the pupil part must be removed perfectly and efficiently.Pupil part is unwanted part for our system.Pupil part is surrounded by iris part when extracted successfully we get two approximate concentric circle.Proposed scanning algorithm successfully extracts pupil part and defines iris part with less complexity and more efficiently.Iris part is consisting of patterns which are desired for authenticating a person and each patterns are represented in terms of feature vectors and stored in database.Proposed system focuses on feature extraction using five level decomposition technique implemented with haar, db2 and db4 and achieves high accuracy with reduced error rates.Due to reduced errors and considering lower half of iris part, proposed algorithm can be used for larger database such as for Aadhar because it takes less time for feature extraction and has less complexity with reduced mathematical burden on the system and improves good accuracy.