Book Title: Contemporary Research Across Disciplines
Editors: Dr. R. Saravana Selvakumar and Mr. R. Venkatesan
ISBN: 978-81-978738-1-2
Chapter: 18
DOI: https://doi.org/10.59646/crc18/278
Authors:
Mrs. D. Jeyabharathi, Research Scholar, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India.
Dr. N. N. Krishnaveni, Assistant Professor, Department of Computer Science, Holy Cross Home Science College, Thoothukudi, Tamil Nadu, India
Dr. E. Sucila, Associate Professor, Department of Mathematics, G.Venkataswamy Naidu College (Autonomous), Kovilpatti, Tamil Nadu, India
Dr. K. Maheswari, Assistant Professor, Department of Computer Science, P.S.R. Arts and Science College, Sevalpatti, Sivakasi, Tamil Nadu, India
Abstract
Feature extraction is one of the essential pre-processing techniques in image processing. It plays a vital role in image analysis. It is used to detect features in digital images. The features in images are edges, corners, blobs, ridges, shapes, texture, colour, size and motion. After these have been located, the data can be processed to carry out several picture analysis activities. In this paper, Gender detection using feature extraction is addressed. The dataset used in this work is downloaded from the internet. This work is implemented in Matlab.
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