Performance Analysis of Parallel Implementation of PCA-based Face Recognition using OpenCL

S. Sapna, R. Anjali, Shobha N. Kamath

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Face is one of the most commonly used biometrics for identifying a person uniquely. Face Recognition is a technique of identifying an individual and verifying their identity using the face. It finds applications in many areas including forensic investigations, security systems, mobile applications etc. All these systems require fast face recognition rate. But the complex structure of the face makes it difficult to speed up the process since huge computations are involved. One of the well known algorithms for face recognition is the Principal Component Analysis (PCA) Approach. This technique is very effective except for its higher computational cost. In this paper, PCA based face recognition is parallelized using OpenCL to speed up the computation and a comparison is made in terms of computational time required for serial and parallel implementation. Parallel implementation offers a 32-fold speedup over serial implementation proving the efficiency of the proposed method.

Original languageEnglish
Title of host publication2019 4th IEEE International Conference on Recent Trends on Electronics, Information, Communication and Technology, RTEICT 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages877-881
Number of pages5
ISBN (Electronic)9781728106304
DOIs
Publication statusPublished - 05-2019
Externally publishedYes
Event4th IEEE International Conference on Recent Trends on Electronics, Information, Communication and Technology, RTEICT 2019 - Bangalore, India
Duration: 17-05-201918-05-2019

Publication series

Name2019 4th IEEE International Conference on Recent Trends on Electronics, Information, Communication and Technology, RTEICT 2019 - Proceedings

Conference

Conference4th IEEE International Conference on Recent Trends on Electronics, Information, Communication and Technology, RTEICT 2019
CountryIndia
CityBangalore
Period17-05-1918-05-19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems
  • Electrical and Electronic Engineering

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    Sapna, S., Anjali, R., & Kamath, S. N. (2019). Performance Analysis of Parallel Implementation of PCA-based Face Recognition using OpenCL. In 2019 4th IEEE International Conference on Recent Trends on Electronics, Information, Communication and Technology, RTEICT 2019 - Proceedings (pp. 877-881). [9016732] (2019 4th IEEE International Conference on Recent Trends on Electronics, Information, Communication and Technology, RTEICT 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RTEICT46194.2019.9016732