Facial Expression Recognition using Save and Load Keywords
Author(s) -
Niranjan Bhattacharyya,
Anshul Sharma
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016912335
Subject(s) - computer science , facial expression recognition , expression (computer science) , facial expression , speech recognition , artificial intelligence , pattern recognition (psychology) , facial recognition system , programming language
Human expression is one of the most used gesture to express and understand the true intentions of a person. Recognition of human facial expression can be very useful in lie detection. It is mainly used for security reasons so that human behavior can be determined more efficiently, which is difficult for a human eye to detect. This paper focusses on the problem of facial expression recognition and suggests how to make it more efficient and faster. Facial expression code usually takes very long time to load all the database images to which current images can be matched. This problem will be solved by using ‘Save’ [1] and ‘Load’ [8] keywords in the Matlab code for expression recognition. Findings have shown that the code execution was around seventeen percent faster with the use of ‘Save’ and ‘Load’ keywords.
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