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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
REAL TIME FACE RECOGNITION SYSTEM USING CONVOLUTIONAL NEURAL NETWORK
Authors
Dr.Vinayak Bharadi, Mr.Rutik Sansare, Mr.Tushar Padelkar, Mr.Vishant Shinde
Keywords
Face Recognition, Convolutional Neural Networks, Deep Learning.
Abstract
Nowadays, face recognition is a reliable and accurate access control technique which is used along with other biometric methods. Face recognition is a process of recognizing the face sample of particular person from the set of face samples stored in the system. It can be done by converting images into digital binary representation to extract features using various techniques. In this paper, we propose a real time face recognition system which implemented using VGG16 architecture of Convolutional Neural Networks (CNN) and Transfer Learning. Convolutional Neural Networks are special type of deep learning neural networks which mainly used for image classification. OpenCV open-source library is used for image pre-processing. The experimental results indicates that an average accuracy of 97- 99% is achieved and hence this is one of the best methods for face recognition.
IJCRT's Publication Details
Unique Identification Number - IJCRTO020015
Paper ID - 218303
Page Number(s) - 75-79
Pubished in - Volume 10 | Issue 4 | April 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Dr.Vinayak Bharadi, Mr.Rutik Sansare, Mr.Tushar Padelkar, Mr.Vishant Shinde, "REAL TIME FACE RECOGNITION SYSTEM USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 4, pp.75-79, April 2022, Available at :http://www.ijcrt.org/papers/IJCRTO020015.pdf
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Volume 12 | Issue 7
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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