DETECTION OF FACIAL EXPRESSIONS USING MACHINE LEARNING IN MATALB

Pushpdhar Malviya , Pradeep Tripathi

Facial expressions, biological value, genes, security models

Facial expressions of emotion are signals of high biological value. They are thought to have evolved in part to serve a critical communicatory function between conspecifics. Cross-cultural differences in perception of facial expressions revealed by recent studies. The facial expression recognition system presented in this research work contributes a resilient face recognition model. It is based on the mapping of behavioral characteristics with the physiological biometric characteristics. The behavioral aspect of this system relates the attitude behind different expressions as property base. Property bases are alienated as exposed and hidden category in genetic algorithmic genes. The design of a novel asymmetric cryptosystem based on biometrics eliminates the use of passwords and smart cards. This research work promises a new direction of research. In future it may be investigated in more depth about the face classification problem and optimal fusion of color and depth information. The genetic property evolution framework for facial expressional system can be studied to suit the requirement of different security models.

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"DETECTION OF FACIAL EXPRESSIONS USING MACHINE LEARNING IN MATALB", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 2, page no.49 - 53, February-2021, Available :https://ijsdr.org/papers/IJSDR2102006.pdf

Volume 6 Issue 2, February-2021

Pages : 49 - 53

Paper Reg. ID: IJSDR_192899

Published Paper Id: IJSDR2102006

Downloads: 000347462

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2102006

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2102006

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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