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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM23573

Advancements in Age Estimation and Detection: A Comprehensive Survey

Stream/Area:

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Paper ID:

10.55041/IJSREM23573

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SSV

Sarvesh Sudhakar Velip

DACFF

Dr. Aisha C. F. Fernandes

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Abstract

This survey paper provides a comprehensive overview of age detection techniques using image processing. The objectives of this survey are to review the existing literature, analyze various methodologies, present key findings, and identify future research directions. The survey highlights the significance of age detection in diverse fields and discusses the challenges and advancements in this area. Through a systematic analysis of relevant literature, this survey aims to provide insights into the current state-of-the-art techniques for age detection using image processing.

KEYWORDS

Age detection Image processing Facial images Facial proportions CNNs Statistical models Machine learning algorithms Age estimation.

Cite This Article

Sarvesh Sudhakar Velip, Dr. Aisha C. F. Fernandes, "Advancements in Age Estimation and Detection: A Comprehensive Survey," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM23573

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Publication Date

6/14/2023

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Double-Blind Peer Review

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The authors declare no conflict of interest related to this research work.

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