OLFV: Harnessing the Power of Enhanced Deep Learning Model to Recognize Fingerprints using Optimization and Classification Principles Paper-Reference-Cited by-同舟云学术

OLFV: Harnessing the Power of Enhanced Deep Learning Model to Recognize Fingerprints using Optimization and Classification Principles Paper

Published:2024-04-18 Issue: Volume:25 Page:1-7
ISSN:
Container-title:2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS)
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Author:

Natarajan Senthil kumar¹,Rathinasabapathy Ramadevi²,Gopal Baskar³,Subramani Karthikeyan⁴,Ramaswamy Arikrishnaperumal⁵,Aravind ⁵

Affiliation:

1. Sathyabama Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai,India

2. Saveetha School of Engineering, SIMATS,Department of Biomedical Engineering,Chennai,India

3. University of Technology and Applied Sciences,Department of Electrical and Electronics Engineering College of Engineering and Technology,Nizwa,Sultanate of Oman

4. Rover Engineering College Elambalur,Department of Electronics and Communication Engineering,Perambalur,India

5. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Electronics and Communication Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10533425/10533188/10533609.pdf?arnumber=10533609

Reference20 articles.

1. Contactless Fingerprint Recognition Using Deep Learning—A Systematic Review

2. Fingerprint Recognition Technology Using Deep Learning: A Review;Chinnappan;SSRN Electronic Journal,2021

3. An intelligent system for automatic fingerprint identification using feature fusion by Gabor filter and deep learning

4. CNNAI: A Convolution Neural Network-Based Latent Fingerprint Matching Using the Combination of Nearest Neighbor Arrangement Indexing

5. Deep Learning Algorithms based Fingerprint Authentication: Systematic Literature Review