Lie Recognition using Eye Patterns
Kartik Mehta1, Arjun Sharma2, Rishabh Suri3
1Kartik Mehta, Student Currently Pursuing a Bachelor’s Degree in Computer Science and Engineering from SRM Institute of Science and Technology, Chennai, India.
2Arjun Sharma, Student Currently Pursuing B. Tech in Computer Science and Engineering from SRM Institute of Science and Technology, Chennai, India.
3Rishabh Suri, Student Currently Pursuing B.Tech in Computer Science and Engineering from SRM Institute of Science and Technology, Chennai, India.
Manuscript received on September 12, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 6305-6308 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1765109119/2019©BEIESP | DOI: 10.35940/ijeat.A1765.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The recognition of lie done by a person could be identified by various facial gestures, such as the reaction of the eye blinks to different situations, and also in the case of a lie as proposed by the NLP(Neuro Linguistic Programming) theory. These patterns could be identified by using statistical tools such as SVM(Support Vector Machine), PCA(Principal Component Analysis) and LDA(Latent Dirichlet Allocation). This paper proposes lie detection technique using Python programming language based on the PCA (Principal Component Analysis) algorithm based on the eye images.
Keywords: Nlp, Pca Algorithm, Matplot, Lfw, Python.