NDLI: Locally lateral manifolds of normalised Gabor features for face recognition

Content Provider	IET Digital Library
Author	Zaman, Fadhlan Hafizhelmi Kamaru
Abstract	Due to inherent characteristics of multiscale and orientation, normalised Gabor features have been successfully used in face recognition. Various previous works have showcased the strength and feasibility of this approach, especially on its robustness against local variations. However, the projected features are numerous and substantial in dimension, which is largely due to the convolution of multiscale and orientation of wavelets. Such features, when used in practical face recognition, would require relatively lengthy classification process, particularly when it involves computationally extensive local classifier or experts, such as ensembles of local cosine similarity (ELCS) classifier. The authors address this issue by simultaneously reducing the size of Gabor features laterally and locally using a manifold learning method called locally linear embedding (LLE). This method is thus denoted as locally lateral normalised local Gabor feature vector with LLE (LGFV/LN/LLE). Results on several publicly available face datasets reveal the superiority of the authors’ approach in terms of improvements in feature compression of LGFV features by up to a reduction of 95% of total dimensionality while increasing the average classification accuracy by 26%. Altogether, the authors show that their LGFV/LN/LLE augmented by ELCS classifiers delivers equivalent result when compared against the state-of-the-art.
Starting Page	122
Ending Page	130
Page Count	9
ISSN	17519632
Volume Number	14
e-ISSN	17519640
Issue Number	Issue 4, Jun (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/14/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2019.0531
Journal	IET Computer Vision
Publisher Date	2020-02-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Extensive Local Classifier Face Recognition Feature Compression Feature Extraction Filtering Method in Signal Processing Gabor Filter Image Classification Image Recognition Integral Transforms Knowledge Engineering Technique Learning in AI LGFV Feature Local Cosine Similarity Classifier Local Variations Locally Lateral Manifolds Locally Lateral Normalised Local Gabor Feature Vector Locally Linear Embedding Manifold Learning Method Multiscale Orientation Normalised Gabor Feature Optical, Image And Video Signal Processing Optimisation Technique Practical Face Recognition Projected Feature Publicly Available Face Datasets Relatively Lengthy Classification Process Statistics
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Hyperspectral face recognition via feature extraction and CRC-based classifier

Local Gabor Dominant Direction Pattern for Face Recognition

Face recognition based on the fusion of global and local HOG features of face images

Fast matching pursuit for sparse representation-based face recognition

Real-world gender classification via local Gabor binary pattern and three-dimensional face reconstruction by generic elastic model

Pain intensity recognition via multi-scale deep network

Ensemble-based glioma grade classification using Gabor filter bank and rotation forest

Palm vein recognition scheme based on an adaptive Gabor filter

Nearest feature line embedding for face hallucination

Locally lateral manifolds of normalised Gabor features for face recognition

Similar Documents

Hyperspectral face recognition via feature extraction and CRC-based classifier

Local Gabor Dominant Direction Pattern for Face Recognition

Face recognition based on the fusion of global and local HOG features of face images

Fast matching pursuit for sparse representation-based face recognition

Real-world gender classification via local Gabor binary pattern and three-dimensional face reconstruction by generic elastic model

Pain intensity recognition via multi-scale deep network

Ensemble-based glioma grade classification using Gabor filter bank and rotation forest

Palm vein recognition scheme based on an adaptive Gabor filter

Nearest feature line embedding for face hallucination

Locally lateral manifolds of normalised Gabor features for face recognition