VisionIris: Unveiling Identity with CNN

VisionIris: Unveiling Identity with CNN
Author(s):
Nikitha G S, Jatin Tiwari, Ankita Sinha, Gannu Kumar Mahato, Anushka
Keywords:

Abstract
This paper presents a completed project that developed an application utilizing existing captured images for user authentication, ensuring that only authorized individuals can perform transactions such as withdrawals or deposits in bank accounts. Emphasizing the significance of a reliable user authentication system for accurate identity detection, the study explores the active research on iris recognition as a biometric identification method. The increasing awareness of personal privacy in various domains has contributed to the growing popularity of this technology. Leveraging the advancements in AI, particularly Convolutional Neural Network (CNN), the paper highlights the practicality and flexibility of CNN in image processing and pattern recognition, proposing its effective application in various fields. The central focus of the paper is on constructing an application that utilizes the human iris as a biometric for user validation within a provided dataset
Article Details
Unique Paper ID: 162702 Publication Volume & Issue: Volume 10, Issue 10 Page(s): 1025 - 1027
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