editedbook
Publication: IIP Proceedings Year: 2022, Month: November Page No: 200-206, ISSN/ISBN: 978-81-959356-3-5, DOI/Link: https://rsquarel.org/assets/docupload/rsl20238F93AC66C2E83BA.pdf
AN ENHANCED METHODOLOGY OF DEEP LEARNING FOR IMAGE IDENTIFICATION
Area/Stream: Computing Technologies and Data Sciences, Authors: Dr. Regonda Nagaraju,Dr. Abdul Rasool M D,Dr. P.T. Sivasankar,Dr. K. Rajeshwer Rao,Dr. B. Laxmikantha Keywords: Face recognition, denoising. Book Name /series: Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 3, Chapter 4Publication: IIP Proceedings Year: 2022, Month: November Page No: 200-206, ISSN/ISBN: 978-81-959356-3-5, DOI/Link: https://rsquarel.org/assets/docupload/rsl20238F93AC66C2E83BA.pdf
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, Part 3, Chapter 4, November, 2022, 200-206, 978-81-959356-3-5, https://rsquarel.org/assets/docupload/rsl20238F93AC66C2E83BA.pdf
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