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Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

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Open Access Research Article

Generality imaging for optimized face classification using deep learning techniques

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pp. 505–513Vol. 44Issue 3April 2023DOI: 10.47974/JIOS-1409XML
Published Online:
11 Aug 2023
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1409
Pages:
505–513

Abstract

Relied on discernible or corporeal attributes, human beings are recognized by employing biometric scheme. In computer perception and design ratification domain, progressive studies are carried out in face recognition. Given the constant development in the discipline of imaging sensor, a legion of rest of the novel problems has occurred. The chief issue remains how to discover focus region more precisely for multi-focus face detection. Several studies have been proliferated in face discernment, spotting, and protection acknowledgment; the key problem remains in this is considering those images into contemplation that had “disparate dimensions” and “disparate aspect ratio” in a singular frame avoiding the progression to attain or surpass human-level accuracy in human facial aspect like noise in face pictures, defying lighting conditions and posture ratio.

Keywords

Subject Classifications

68T07 Artificial neural networks and deep learning68T27 Logic in artificial intelligence

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