Gender Classification Based on Iris Recognition Using Artificial Neural Networks
Biometric authentication is one of the most quickly increasing innovations in today's world; this promising technology has seen widespread use in a variety of fields, including surveillance services, safe financial transfers, credit-card authentication. in biometric verification processes such...
Saved in:
Main Authors: | Basna Mohammed Salih, Adnan Mohsin Abdulazeez, Omer Mohammed Salih Hassan |
---|---|
Format: | Article |
Language: | English |
Published: |
Qubahan
2021-05-01
|
Series: | Qubahan Academic Journal |
Subjects: | |
Online Access: | https://journal.qubahan.com/index.php/qaj/article/view/63 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EFFECTIVENESS EDGE DETECTION OPERATOR CANNY TO IMPROVE IMAGE QUALITY THORAX CT SCAN IN CASES COVID-19
by: Prima Selvia Megawati, et al.
Published: (2023-11-01) -
A novel approach for detecting the presence of a lymphatic rosary in the iris using a 3-stage algorithm
by: Poovayar Priya Mohan, et al.
Published: (2024-11-01) -
Effective preprocessing techniques for improved facial recognition under variable conditions
by: Afolabi I. Awodeyi, et al.
Published: (2025-03-01) -
Advanced Pedestrian Distance Estimation for ADAS with Canny Edge Detection and Stereo Vision
by: Rachidi Oumayma, et al.
Published: (2025-01-01) -
Comparative indicators of morphology and seed productivity in rare <i>Iris</i> L. spp. within their natural habitats and under cultivation in the Southern Urals
by: A. V. Kryukova, et al.
Published: (2022-10-01)