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Article
An effective model for the iris regional characteristics andclassification using deep learning alex network
IET Image Processing
  • Thiyaneswaran Balashanmugam
  • Kumarganesh Sengottaiyan
  • Martin Sagayam Kulandairaj
  • Helen Dang, Molloy University
Document Type
Article
Publication Date
1-1-2022
Version
Publisher's PDF
Publisher's Statement
© 2022 The Authors. IET Image Processing published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology
DOI
10.1049/ipr2.12630
Abstract

Iris biometrics is one of the fastest-growing technologies, and it has received a lot ofattention from the community. Iris-biometric-based human recognition does not requirecontact with the human body. Iris is a combination of crypts, wolflin nodules, concen-trated furrows, and pigment spots. The existing methods feed the eye image into deeplearning network which result in improper iris features and certainly reduce the accuracy.This research study proposes a model to feed preprocessed accurate iris boundary intoAlexnet deep learning neural network-based system for classification. The pupil centre andboundary are initially recorded and identified from the given eye images. The iris boundaryand the centre are then compared for the identification using the reference pupil cen-tre and boundary. The iris portion, exclusive feature of the pupil area is segmented usingthe parameters of multiple left-right point (MLRP) algorithms. The Alexnet deep learningmultilayer networks 23, 24, and 25 are replaced according to the segmented iris classes. Theremaining Alexnet layers are trained using the square gradient decay factor (GDF) in accor-dance with the iris features. The trained Alexnet iris is validated using suitable classes. Theproposed system classifies the iris with an accuracy of 99.1%. The sensitivity, specificity,and F1-score of the proposed system are 99.68%, 98.36%, and 0.995. The experimentalresults show that the proposed model has advantages over current model

Creative Commons License
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Citation Information
Thiyaneswaran Balashanmugam, Kumarganesh Sengottaiyan, Martin Sagayam Kulandairaj and Helen Dang. "An effective model for the iris regional characteristics andclassification using deep learning alex network" IET Image Processing Vol. 17 Iss. 1 (2022)
Available at: http://works.bepress.com/helen-dang/28/