Design of N-Way DBN Classifier and Auto Encoder for Facial Similarity

Recognizing a face is a routine task for human perception system, whereas building a similar computational model for Face recognition with 100% accuracy is quite challenging. This work is rich in terms of theory, literature, and experimentation with a novel approach towards face similarity technolog...

Full description

Bibliographic Details
Main Authors: Humera Tariq, Zainab Parveen
Format: Article
Language:English
Published: EduSoft publishing 2018-02-01
Series:Brain: Broad Research in Artificial Intelligence and Neuroscience
Subjects:
Online Access:https://www.edusoft.ro/brain/index.php/brain/article/view/751/858
_version_ 1798027827612745728
author Humera Tariq
Zainab Parveen
author_facet Humera Tariq
Zainab Parveen
author_sort Humera Tariq
collection DOAJ
description Recognizing a face is a routine task for human perception system, whereas building a similar computational model for Face recognition with 100% accuracy is quite challenging. This work is rich in terms of theory, literature, and experimentation with a novel approach towards face similarity technology. The paper concentrates on the design of an N-Way DBN Classifier and Similarity Metric DBN Auto-encoder for recognizing facial similarity (or Face Verification). PCA feature extraction process is combined with DBN to enhance the performance of the two proposed models. The models work under both Image Unrestricted and Image Restricted settings on the small LFW dataset. Many improvements and refinements needed to improve the models. With advancement in feature extraction stage, the proposed approaches might achieve competitive verification performance.
first_indexed 2024-04-11T18:58:59Z
format Article
id doaj.art-d994d643a09f4413a9cf912c9c42ad1e
institution Directory Open Access Journal
issn 2067-3957
language English
last_indexed 2024-04-11T18:58:59Z
publishDate 2018-02-01
publisher EduSoft publishing
record_format Article
series Brain: Broad Research in Artificial Intelligence and Neuroscience
spelling doaj.art-d994d643a09f4413a9cf912c9c42ad1e2022-12-22T04:08:07ZengEduSoft publishingBrain: Broad Research in Artificial Intelligence and Neuroscience2067-39572018-02-01917293Design of N-Way DBN Classifier and Auto Encoder for Facial SimilarityHumera Tariq0Zainab Parveen1University of Karachi, Pakistan Main University Road, Karachi 75270, Pakistan Tel.: +92 21 99261300 humera@uok.edu.pkUniversity of Karachi, Pakistan Main University Road, Karachi 75270, Pakistan Tel.: +92 21 99261300 zinnia_zp17@yahoo.comRecognizing a face is a routine task for human perception system, whereas building a similar computational model for Face recognition with 100% accuracy is quite challenging. This work is rich in terms of theory, literature, and experimentation with a novel approach towards face similarity technology. The paper concentrates on the design of an N-Way DBN Classifier and Similarity Metric DBN Auto-encoder for recognizing facial similarity (or Face Verification). PCA feature extraction process is combined with DBN to enhance the performance of the two proposed models. The models work under both Image Unrestricted and Image Restricted settings on the small LFW dataset. Many improvements and refinements needed to improve the models. With advancement in feature extraction stage, the proposed approaches might achieve competitive verification performance.https://www.edusoft.ro/brain/index.php/brain/article/view/751/858face recognitiondeep belief networkrestricted boltzmann machine (rbm)auto encoder
spellingShingle Humera Tariq
Zainab Parveen
Design of N-Way DBN Classifier and Auto Encoder for Facial Similarity
Brain: Broad Research in Artificial Intelligence and Neuroscience
face recognition
deep belief network
restricted boltzmann machine (rbm)
auto encoder
title Design of N-Way DBN Classifier and Auto Encoder for Facial Similarity
title_full Design of N-Way DBN Classifier and Auto Encoder for Facial Similarity
title_fullStr Design of N-Way DBN Classifier and Auto Encoder for Facial Similarity
title_full_unstemmed Design of N-Way DBN Classifier and Auto Encoder for Facial Similarity
title_short Design of N-Way DBN Classifier and Auto Encoder for Facial Similarity
title_sort design of n way dbn classifier and auto encoder for facial similarity
topic face recognition
deep belief network
restricted boltzmann machine (rbm)
auto encoder
url https://www.edusoft.ro/brain/index.php/brain/article/view/751/858
work_keys_str_mv AT humeratariq designofnwaydbnclassifierandautoencoderforfacialsimilarity
AT zainabparveen designofnwaydbnclassifierandautoencoderforfacialsimilarity