Aplikasi Pengenalan Wajah Menggunakan Hough Transform Based Feature Extraction

Septian Triadi(1*), Leo Willyanto Santoso(2), Rudy Adipranata(3),


(1) Program Studi Teknik Informatika
(2) Program Studi Teknik Informatika
(3) Program Studi Teknik Informatika
(*) Corresponding Author

Abstract


The face recognition is one of the important areas in the field of research. Facial recognition can be used in commercial and legal fields. Thus the development of new techniques for characteristic extracting using hough transform is performed.

Applications using pre-processing consist of histogran equalization, unsharp masking, and edge detection before processing using hough transform. Then use the block-wise hough transform to split the image into blocks of images.

From the results of face recognition testing is influence by the variation of the pose. For lighting variations improvised using pre-processing so that different kinds of lighting can be recognized

Keywords


Face Recognition; Feature Extraction; Hough transform

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References


. Han, Hu, et al. 2012. A Comparative Study on Illumination Preprocessing in Face Recognition. Pattern Recognition, 46, 1691-1699, Beijing

. Lee, Chulwoo, et al. 2012. Power-Constrained Contrast Enhancement for Emissive Displays Based on Histogram Equalization. IEEE: Image Processing, 21(1).

. Rashmi, et al.2013. Algorithm and Technique on Various Edge detection: A Survey. Signal & Image Processing, 4(3), India.

. Sufyanu, Zahradden, et al. 2016. Improving Hough transform for Face Recognition. European Journal of Advances in Engineering and Technology, 3(8), 33-40.

. Varun R, et al. 2014. Face Recognition using Hough transform based Feature Extraction. Procedia Computer Science 46, India.


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