Please wait, while we are loading the content...
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Voynichka, I.V. Megherbi, D.B. |
| Copyright Year | 2015 |
| Description | Author affiliation: ECE Dept., Univ. of Massachusetts, Lowell, MA, USA (Voynichka, I.V.; Megherbi, D.B.) |
| Abstract | The need for a solution capable of identifying individuals from a distance, possibly wearing a disguise and in a crowded and busy environment is steadily increasing in many homeland security applications. The use of face recognition techniques has unique advantages when compared to other biometric methodologies - face images can be obtained from a distance and without the cooperation of the subject. A recent example demonstrating the growing need for such solution are the videos released by some terrorist organizations where the suspect's face is occluded with only the eyes being visible. Research has yielded several state-of-the-art algorithms but their accuracy is greatly lowered in the presence of various factors. Face recogition with arbitrary large face off-the-plane rotation remains one very challenging and open research problem. In order to build better face recognition algorithms, it is important to identify and analyze what and how factors affect the accuracy of said algorithms so these methods can be improved and made more robust. In our previous work we presented how factors such as image registration, number and type of training templates and the presence of varying amount of partial face information that can be used to improve the performance of three very popular widely used face recognition algorithms. In this paper, we examine how using multi-channel color images instead of their one-channel grayscale/color composite improves face recognition accuracy in the challenging case when face arbitrary large off-the-plane rotation is present. We demonstrate the improvement to face recognition accuracy through the very popular and widely used Eigenface-based, Fisherface-based and Direct Correlation-based algorithms. Our findings and experimental results with the data, show that when using frontal-facing images as external test images with frontal-facing images as training set images, the additional information contained in the multi-channel color images does not improve the composite gray-scale face recogntition accuracy. However, in the case where the algorithms are trained using only images with slight or considerable off-the-plane rotation, and externally tested either on frontal-facing images or images with arbitrary off-the-plane rotation, the information provided by the multi-channel color images boosts the face recognition accuracy for all three recognition algorithms. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 988676 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479917372 |
| DOI | 10.1109/THS.2015.7225314 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-04-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biometrics Eigenfaces Face recognition Digital Image Processing Color Gray-scale Correlation-based Face Recognition Machine Learning Face Recognition Training Accuracy Image color analysis Computational Intelligence Fisher-faces Face Computer and Machine Vision |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| 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 |
|
Loading...
|