International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Aug. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 114
Paper Published : 1562
No. of Authors : 4260
  Journal Paper


Paper Title :
Performance Comparison between DCT And FFT Feature Extraction Methods in Face Recognition

Author :Mozhde Elahi

Article Citation :Mozhde Elahi , (2019 ) " Performance Comparison between DCT And FFT Feature Extraction Methods in Face Recognition " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 32-35, Volume-7,Issue-9

Abstract : In this paper Performance of Discrete Cosine Transform and Fast Fourier Transform methods for feature extraction in face recognition system are compared with each other. In this system, before using DCT and FFT, Wavelet Translate was unitized. Euclidean distance is employed to measure the similarity between the test and reference vectors. According to experimental results on ORL face dataset, the DWT/DCT method shows better performance, compared to using DWT/FFT method. Keywords - Face Recognition, Wavelet Transform, DCT, FFT.

Type : Research paper

Published : Volume-7,Issue-9


DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-16154   View Here

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