Measurement of Face Detection Accuracy Using Intensity Normalization Method and Homomorphic Filtering

  • I Nyoman Gede Arya Astawa
  • I Ketut Gede Darma Putra
  • I Made Sudarma
  • Rukmi Sari Hartati

Abstract

One of the factors that affects the detection system or face recognition is lighting. Image color processing can help the face recognition system in poor lighting conditions. In this study, homomorphic filtering and intensity normalization methods used to help improve the accuracy of face image detection. The experimental results show that the non-uniform of the illumination of the face image can be uniformed using the intensity normalization method with the average value of Peak Signal to Noise Ratio (PSNR) obtained from the whole experiment is 22.05314 and the average Absolute Mean Brightness Error (AMBE) value obtained is 6.147787. The results showed that homomorphic filtering and intensity normalization methods can be used to improve the detection accuracy of a face image.

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Published
2017-09-23
How to Cite
ARYA ASTAWA, I Nyoman Gede et al. Measurement of Face Detection Accuracy Using Intensity Normalization Method and Homomorphic Filtering. International Journal of Engineering and Emerging Technology, [S.l.], v. 2, n. 1, p. 107-110, sep. 2017. ISSN 2579-5988. Available at: <https://ojs.unud.ac.id/index.php/ijeet/article/view/34581>. Date accessed: 20 jan. 2021.

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