International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
May. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 111
Paper Published : 1546
No. of Authors : 4203
  Journal Paper


Paper Title :
Convolutional Neural Network and Hidden Markov Model based Face Recognition

Author :Mandvi Soni, Shailja Shukla

Article Citation :Mandvi Soni ,Shailja Shukla , (2020 ) " Convolutional Neural Network and Hidden Markov Model based Face Recognition " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 26-30, Volume-8,Issue-2

Abstract : In this paper, the presentation of the proposed Convolutional Neural Network (CNN) with two surely understood picture acknowledgment strategies, for example, Principal Component Analysis (PCA), Hidden Markov Model(HMM). In our trials, the general acknowledgment precision of the PCA, LBPH, KNN (k nearest neighbor) and proposed CNN is illustrated. Every one of the investigations were executed on the ORL database and the acquired test results were appeared and assessed. This face database comprises of 400 distinct subjects (40 classes/10 pictures for each class). The test result demonstrates that the LBPH give preferable outcomes over PCA and KNN. These exploratory outcomes on the ORL database exhibited the viability of the proposed strategy for face acknowledgment. For proposed CNN we have gotten a best acknowledgment precision of 99.5 %. The proposed technique dependent on CNN the best in class strategies. Keywords - Face Recognition System, KNN, LBPH, Neural Networks, PCA.

Type : Research paper

Published : Volume-8,Issue-2


DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-17076   View Here

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