Face Illumination Reduction Using MADPIP Restoration Approach to Biometric Patient Authentication System-Reference-Cited by-同舟云学术

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Face Illumination Reduction Using MADPIP Restoration Approach to Biometric Patient Authentication System

Published:2023 Issue: Volume: Page:133-149
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Pailus Rayner Henry,Alfred Rayner,Obit Joe Henry,Ariffin Aswami Fadillah bin Mohd,Darus Mohammad Zaharudin bin Ahmad,Zamani Nazri Ahmad

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-8406-8_10

Reference46 articles.

1. Ahmed AS (2018) Comparative study among Sobel, Prewitt and canny edge detection operators used in image processing. J Theor Appl Inf Technol 96(19):6517–6525

2. Ali AM, Entesar A (2019) Some new properties of logarithms

3. Arya S, Pratap N, Bhatia K (2015) Future of face recognition: a review. Procedia Comput Sci 58:578–585

4. Batchuluun G, Koo JH, Kim YH, Park KR (2021) Image region prediction from thermal videos based on image prediction generative adversarial network. Mathematics 9(9):1053

5. Belhumeur PN, Kriegman DJ (1998) What is the set of images of an object under all possible illumination conditions? Int J Comput Vis 28(3):245–260

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1. A Robust Multiple Adaptive Derivative Face Recognition System on Pose and Illumination;Lecture Notes in Electrical Engineering;2024

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