an enhanced methodology of deep learning for image identification

Publication Type: Edited Book

Book Name: Futuristic Trends in Computing Technologies and Data Sciences Volume 2 Book 18
Authors: Dr. Regonda Nagaraju, Dr. Abdul Rasool M D, Dr. P.T. Sivasankar, Dr. K. Rajeshwer Rao, Dr. B. Laxmikantha
Keywords: Face recognition, denoising.
Area/Stream: Computer Science, Information Technology / Multi-Agent Systems and Computing / Others
Published in: IIP Series
Volume: 2, Month:December,Year:2023
Page No.: 200-206
e-ISBN: 978-93-5747-552-5
DOI/Link: https://www.doi.org/10.58532/V2BS18P3CH4

Abstract:

Using a biometric system, human individuals are identified based on observable or bodily characteristics. Progressive research on face recognition is being done in the area of computer perception and design confirmation. Numerous more unexpected difficulties have emerged as a result of the image sensor field's ongoing progress. How to do more accurately to identify the focus region for multi-focus face identification continues to be the major challenge. The key issue in this is taking into consideration images that had "disparate dimensions" and "disparate aspect ratio" in a single frame, avoiding the progression to attain or surpass human-level accuracy in human facial aspect like noise in face pictures, defying lighting conditions, and defying posture ratio. Several studies have been published in face discernment, spotting, and protection acknowledgment

Cite this: Dr. Regonda Nagaraju, Dr. Abdul Rasool M D, Dr. P.T. Sivasankar, Dr. K. Rajeshwer Rao, Dr. B. Laxmikantha,"AN ENHANCED METHODOLOGY OF DEEP LEARNING FOR IMAGE IDENTIFICATION", Futuristic Trends in Computing Technologies and Data Sciences Volume 2 Book 18,IIP Series, Volume 2, December, 2023, Page no.200-206, e-ISBN: 978-93-5747-552-5, DOI/Link: https://www.doi.org/10.58532/V2BS18P3CH4

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AN ENHANCED METHODOLOGY OF DEEP LEARNING FOR IMAGE IDENTIFICATION

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