Face Recognition Using Contour and Discrete Co- sine Transform

Syed Muhammad Rafi; Mohsin Khan; Shahzad Nasim; Sheikh Muhammad Munaf

Author(s)

Syed Muhammad Rafi Ziauddin University Karachi, Pakistan

Mohsin Khan Ziauddin University Karachi, Pakistan

Shahzad Nasim B. Nusrat Bhutto Women University, Pakistan

Sheikh Muhammad Munaf Ziauddin University Karachi, Pakistan

Abstract

Face recognition from human pose databases is a very famous work and many researchers add their interest in this field because of its diversity and working range. Biometric information processing have an impression on face recognition. It can be a vital component of natural human-machine interfaces. Face recognition using Contour and Discrete Cosine Transform (DCT) comprises to recognize the human face image from the database. In this research six hundred images of 200 persons are used with two different expressions. The images of database must be converted into 2-D format which is appropriate for the recognition of face because the recognition of color images are very typical. Two famous algorithm Geodesic distance transform for the extraction of geodesic distance paths and discrete cosine transform are used for the feature extraction process. The face was detected manually by taking the seed point on the nose of human face. For the extraction of paths fast marching algorithm is used. Affinity of Geodesic is intensity variation and this could extract more and more information from face images. This Geodesic distance also helped us to obtain the contours of the face. Contours are helpful to extracting the more exact features of images. In the end Discrete Cosine Transform (DCT) is applied to all the images that derived DCT coefficient. Euclidean distance for the classification of images are also used for the final analysis of images. The results are comparable to the state-ofthe-art face recognition techniques 1 Ziauddin University Karachi 2 B. Nusrat Bhutto Women University Fig.1. Implementation Steps Nowadays, Geodesic distance transform is also very famous.

Publication Details

Page(s) 12-17

DOI DOI not available

Published Journal: Journal of Information & Communication Technology (JICT), Volume: 14, Issue: 2, Year: 2020

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Keywords

Euclidean, discrete cosine transform, 2D-images, KNN, Weighted Distance Transform, contour

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