Transactions on Engineering and Computer Science
Artificial Neural Network for Face Detection and Recognition
Umesh Hengaju and Gajendra Sharma
Abstract
Detection of face and its recognition in the field of pattern recognition and computer vision has gained an increasing interest over recent decades. It is because of its many applications in a variety of fields such as security systems, videoconferencing, and identity verification. But, for machines like computer, it is very difficult to make distinguish between the faces of different kinds and recognizing them. The objective of this paper is to introduce the Neural Network based algorithm that simplifies the task of recognizing and detecting face. Under Neural Network, this paper has focused on implementation of Haar Filter to detect the face in the captured face image. Also, this paper explains artificial neural network approach in combination with PCA algorithm for recognition of human face. Mapping of Haar filter in face image extracts the facial information and with that facial information, Eigen Face Vector is produced. Then a matching technique is applied to find a match between the new face and all the known faces in the database. And the result of comparison distinguishes any face to be known or unknown.
Keywords: Neural network, Haar filter, Facial features, PCA, Eigen face.
Journal Information
- Journal Name: Transactions on Engineering and Computer Science
- Journal Short Name: Trans Eng Comput Sci
- Language: English
- Format of Publication: Online
- Starting Year: 2020
- Focus Subject: Engineering and Computer Science
- Publication Model: Online
- Frequency of Publication: Two Issue a Year
- Review Process: Single blind peer-review by referees
- Time to 1st Decision: 2 to 3 weeks from date of submission
- Time to Acceptance: 4 to 6 weeks, depending upon the required revision cycles
- Time to Publication: 1 to 3 weeks from date of final submission in the forthcoming issue
- DOI Prefix: 10.7620
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