FACIAL FEATURE INDENTIFICATION AND COMPARISION UISNG KNN ALGORITHM

1J. Vishnu Vardhan Reddy, R. Priyanka

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Abstract:

Biometric is the statistical analysis of the user’s unique physical and behavioral characteristics. This technology is used for identification and access control, or else for identifying the individuals who are under surveillance. Some example include palm veins, face recognition, hand geometry, iris recognition, retina etc, physiological traits or behavioral characteristics. They are the way to measure the physical characters to verify their identity. Once measured, the information is compared and matched in database. Features extracted from the facial images play a major role in the security system. This research paper explains how facial features are identified using KNN algorithm. Finally the proposed method is compared with existing methods. The comparison table represents that, DLBP and RLBP with KNN classifier provides better result in term of accuracy than existing methods.

Keywords:

Face recognition, face identification, local binary pattern (LBP), k-nearest neighbor (K-NN)

Paper Details
Month2
Year2020
Volume24
IssueIssue 2
Pages4579-4584