Face Recognition based on STWT and DTCWT using two dimensional Q-shift Filters

Abstract

The Biometrics is used to recognize a person effectively compared to traditional methods of identification. In this paper, we propose a Face recognition based on Single Tree Wavelet Transform (STWT) and Dual Tree Complex Wavelet transform (DTCWT). The Face Images are preprocessed to enhance quality of the image and resize. DTCWT and STWT are applied on face images to extract features. The Euclidian dist ance is used to compare features of database image with test face images to compute performance parameters. The performance of STWT is compared with DTCWT. It is observed that the DTCWT gives better results compared to STWT technique. Index Terms: Biometrics, DTCWT, STWT,ED, Two dimensional Q-shift filters, Face recognition

Authors and Affiliations

Sateesh Kumar H C, C Chowda reddy, Raja K B, Venugopal K R

Keywords

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  • EP ID EP389806
  • DOI 10.9790/9622-0701036479.
  • Views 143
  • Downloads 0

How To Cite

Sateesh Kumar H C, C Chowda reddy, Raja K B, Venugopal K R (2017). Face Recognition based on STWT and DTCWT using two dimensional Q-shift Filters. International Journal of engineering Research and Applications, 7(1), 64-79. https://www.europub.co.uk/articles/-A-389806