UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 2
February-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2002438


Registration ID:
228566

Page Number

213-220

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Title

Face Recognition Using Sketch,Thermal and Infrared Images

Abstract

: Heterogeneous face recognition aims to acknowledge faces across totally different sensor modalities. Typically, gallery images are normal visible spectrum pictures, and probe images are infrared images or sketches or thermal image. Recently vital improvements in face recognition are obtained by CNNs learned from very massive training datasets. In this paper, we are trying to find match between sketch with digital photograph, thermal image with digital photograph and infrared image with digital photograph. We explore totally different metric learning methods to reduce the discrepancies between the various modalities. In this pape¬¬¬¬¬¬¬¬¬¬r we are making use of high level feature of deep convolutional neural network that are trained on digital photograph and these images do not belong to any type or any domain.CNN can also be used to encode the image that are taken from different media. A generic framework for Heterogeneous Face Recognition is planned by making use of Deep Convolutional Neural Networks low-level feature for each domain and it is called as Domain Specific Units. Domain Specific Units extract the shallow feature for every new image domain. Even, it handles its transformation to a generic face space shared between all image domains. Experiments carried out with four face databases i.e CUHK Face Sketch Database (CUFS) ,CASIA NIR-VIS face database(CASIA) ,Near Infrared And Visible Light(NIVL) dataset , Polarimetric And Thermal Database (Pola Thermal ) covering 3 different image domains i.e sketch ,thermal image, infrared image and show improvements, in terms of matching ratio.

Key Words

Face Recognition , Heterogeneous Face Recognition, Reproducible Research, Domain Adaptation, Deep Neural Networks.

Cite This Article

"Face Recognition Using Sketch,Thermal and Infrared Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.213-220, February 2020, Available :http://www.jetir.org/papers/JETIR2002438.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

"Face Recognition Using Sketch,Thermal and Infrared Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp213-220, February 2020, Available at : http://www.jetir.org/papers/JETIR2002438.pdf

Publication Details

Published Paper ID: JETIR2002438
Registration ID: 228566
Published In: Volume 7 | Issue 2 | Year February-2020
DOI (Digital Object Identifier):
Page No: 213-220
Country: Latur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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