UGC Approved Journal no 63975(19)

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Published in:

Volume 4 Issue 12
December-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1712154


Registration ID:
171197

Page Number

1104-1110

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Title

Applying a Deep Learning Convolutional Neural Network (CNN) Approach for Building a Face Recognition System: A Review

Abstract

Deep learning is a new advanced research area of machine learning. The Deep learning come up with a successful learning approach to make the machine learning closer to Artificial intelligence. In Deep learning, multiple processing layers are organized for simulating mathematical models that learn characteristics of data with various levels of abstraction. These techniques have greatly improved the state-of-the-art in pattern recognition. Deep learning finds out complex structure in large datasets by the help of backpropagation technique to show how the AI supposed to change its internal parameters that are used to calculate the characterization in each layer from the characterization in the previous layer. Basically, the Deep Convolutional nets have been used in the development to deal with images, speech, video, and audio. In contrast, recurrent nets give out a bright way on sequential data like text and speech. Recently, the deep learning CNN has reached propitious results in face recognition. In this survey paper, we are going to study about CNN-based face recognition systems. One of the objective of this study is to know more about the field of pattern recognition in our case face recognition, which is very interesting and have a tremendous benefits in real life applications that require peoples identity, such as Payments, Passport immigration, Access and security, Criminal identification, Advertising, Healthcare, Students attendance, and etc.

Key Words

Biometrics, Pattern recognition, Face detection, Face recognition, Deep learning, Neural Network, Convolutional Neural Network (CNN).

Cite This Article

"Applying a Deep Learning Convolutional Neural Network (CNN) Approach for Building a Face Recognition System: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 12, page no.1104-1110, December-2017, Available :http://www.jetir.org/papers/JETIR1712154.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Applying a Deep Learning Convolutional Neural Network (CNN) Approach for Building a Face Recognition System: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 12, page no. pp1104-1110, December-2017, Available at : http://www.jetir.org/papers/JETIR1712154.pdf

Publication Details

Published Paper ID: JETIR1712154
Registration ID: 171197
Published In: Volume 4 | Issue 12 | Year December-2017
DOI (Digital Object Identifier): http://doi.one/10.1717/JETIR.17145
Page No: 1104-1110
Country: Vadodara, Gujarat, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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