Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Normal and Abnormal Human Face Detection Based on DCT and FFT Techniques - A Proposed Method

Version 1 : Received: 23 July 2021 / Approved: 26 July 2021 / Online: 26 July 2021 (11:47:11 CEST)

How to cite: Bandyopadhyay, S.; Dutta, S.; Goyal, V.; Bose, P. Normal and Abnormal Human Face Detection Based on DCT and FFT Techniques - A Proposed Method. Preprints 2021, 2021070570 (doi: 10.20944/preprints202107.0570.v1). Bandyopadhyay, S.; Dutta, S.; Goyal, V.; Bose, P. Normal and Abnormal Human Face Detection Based on DCT and FFT Techniques - A Proposed Method. Preprints 2021, 2021070570 (doi: 10.20944/preprints202107.0570.v1).

Abstract

In today’s world face detection is the most important task. Due to the chromosomes disorder sometimes a human face suffers from different abnormalities. For example, one eye is bigger than the other, cliff face, different chin-length, variation of nose length, length or width of lips are different, etc. For computer vision currently this is a challenging task to detect normal and abnormal face and facial parts from an input image. In this research paper a method is proposed that can detect normal or abnormal faces from a frontal input image. This method used Fast Fourier Transformation (FFT) and Discrete Cosine Transformation of frequency domain and spatial domain analysis to detect those faces.

Keywords

Face Detection; Euclidean Distance; Fast Fourier Transformation; Discrete Cosine Transformation; Facial Parts Detection; Frequency domain; Spatial domain

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