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. Preprints2021, 2021070570. https://doi.org/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. https://doi.org/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. Preprints2021, 2021070570. https://doi.org/10.20944/preprints202107.0570.v1
APA Style
Bandyopadhyay, S., Dutta, S., Goyal, V., & Bose, P. (2021). Normal and Abnormal Human Face Detection Based on DCT and FFT Techniques - A Proposed Method. Preprints. https://doi.org/10.20944/preprints202107.0570.v1
Chicago/Turabian Style
Bandyopadhyay, S., Vishal Goyal and Payal Bose. 2021 "Normal and Abnormal Human Face Detection Based on DCT and FFT Techniques - A Proposed Method" Preprints. https://doi.org/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
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
