International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)

Issue: July 2021

Volume 6 | Issue 7

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Authors Name: Pushpdhar Malviya , Pradeep Tripathi
Unique Id: IJSDR2102006
Published In: Volume 6 Issue 2, February-2021
Abstract: 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.
Keywords: Facial expressions, biological value, genes, security models
Cite Article: "DETECTION OF FACIAL EXPRESSIONS USING MACHINE LEARNING IN MATALB", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 2, page no.49 - 53, February-2021, Available :http://www.ijsdr.org/papers/IJSDR2102006.pdf
Downloads: 00025297
Publication Details: Published Paper ID: IJSDR2102006
Registration ID:192899
Published In: Volume 6 Issue 2, February-2021
DOI (Digital Object Identifier):
Page No: 49 - 53
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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