Face Recognition using 2D-Discrete Wavelet Transform & Vertical Segmentation Method Two Dimensional Discrete Wavelet Transform, Overlapping Local Binary Pattern & Vertical Segmentation Method

Authors

  • Divya T. M. Assistant Professor, UVCE, Bangalore, India
  • Parimala Gandhi Associate Professor, Dept. of ECE, RRIT, Bangalore, India

Keywords:

Face Recognition, 2d-DWT, OLBP, VSM

Abstract

Biometrics recognizes a human being based on a physiological or behavioral characteristic. A physiological characteristic is a stable physical characteristic such as a fingerprint pattern, face recognition, hand geometry pattern or iris pattern. These characteristics are unchangeable and unalterable. A Behavioral Characteristic includes signature,how person types at a keyboard and how a person speaks. The degree of variation in a physiological characteristic is smaller than a behavioral characteristic. Face Recognition is capable of identifying a face from a digital image or video. Face Recognition is the powerful biometric. Face recognition system compares selected  features of the inputimage with faces in the database.

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Published

10-06-2019

How to Cite

Divya T. M., & Parimala Gandhi. (2019). Face Recognition using 2D-Discrete Wavelet Transform & Vertical Segmentation Method Two Dimensional Discrete Wavelet Transform, Overlapping Local Binary Pattern & Vertical Segmentation Method. International Journal of Management Studies (IJMS), 6(Spl Issue 8), 36–45. Retrieved from https://researchersworld.com/index.php/ijms/article/view/2188

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