AI Powered Contactless Fingerprint Recognition

AI Powered Contactless Fingerprint Recognition

Srushti Kulkarni, Anjali Kumbhar, Akash Mandlik, Pranav Kamble

Dr.D.Y. Patil College of Engineering and Technology, Kolhapur

Prof N. M. Shinde

- Dr.D.Y. Patil College of Engineering and Technology, Kolhapur

Abstract

This comprehensive review delves into the realm of AI-powered contactless fingerprint recognition. We trace its evolution from traditional methods to modern contactless approaches, highlighting the pivotal role of AI and machine learning. Key topics include the principles of contactless fingerprint data acquisition, challenges like environmental variations, and privacy concerns. We examine the state-of-the-art AI techniques such as deep learning and convolutional neural networks, showcasing how they enhance accuracy and robustness in contactless fingerprint recognition. The paper also explores diverse applications, spanning security, access control, and healthcare, while addressing societal impacts and ethical considerations. Furthermore, we provide insights into ongoing research and future prospects, including potential improvements, emerging trends, and multi-modal authentication possibilities. This concise review serves as an essential resource for researchers, practitioners, and policymakers interested in the intersection of AI and biometric authentication technologies.

Keywords: - AI-powered, Contactless fingerprint recognition, Biometrics, Artificial intelligence, Machine learning, Data acquisition, Deep learning, Convolutional neural networks