Review of Face Recognition Systems Using Different Artificial Neural Network Algorithms

Authors(4) :-Sameer Ahmad Mir, Sahil Nazir Pottoo, Tahir Mohammad Wani, Muneer Ahmad Dar

Face recognition is one of the most relevant applications of image processing and biometric systems. Artificial neural networks (ANN) have been used in the field of image processing and pattern recognition. In the past few years, face recognition has received a significant attention and regarded as one of the most successful applications in the field of image analysis. The human faces represent complex, multidimensional, meaningful visual stimulant. Developing a computational model for face recognition is difficult. Face detection can be regarded as fundamental part of face recognition systems according to its ability to focus computational resources on the part of an image containing a face. The process of face detection in images is complex because of variability present across human faces such as: pose; expression; position and orientation; skin color ; presence of glasses or facial hair; differences in camera gain; lighting conditions; and image resolution . The analysis of facial expression was primarily a research field for psychologists in the past years. At the same time, advances in many domains such as: face detection; tracking; and recognition; pattern recognition; and image processing contributed significantly to research in automatic facial expression recognition. Therefore, this research includes a general review of face recognition studies and systems, which based on different ANN approaches and algorithms

Authors and Affiliations

Sameer Ahmad Mir
Department of Electronics and Communication Engineering , BGSB University Rajouri J & K , India
Sahil Nazir Pottoo
Department of Electronics and Communication Engineering , BGSB University Rajouri J & K , India
Tahir Mohammad Wani
Department of Electronics and Communication Engineering , BGSB University Rajouri J & K , India
Muneer Ahmad Dar
Department of Electronics and Communication Engineering , BGSB University Rajouri J & K , India

Biometric system, ANN, Image processing, Pattern recognition.

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Publication Details

Published in : Volume 4 | Issue 1 | March-April 2018
Date of Publication : 2018-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 166-171
Manuscript Number : CSEIT411828
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sameer Ahmad Mir, Sahil Nazir Pottoo, Tahir Mohammad Wani, Muneer Ahmad Dar, "Review of Face Recognition Systems Using Different Artificial Neural Network Algorithms", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 1, pp.166-171, March-April.2018
URL : http://ijsrcseit.com/CSEIT411828

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