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JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
Current issue: Nov 2016
Next issue: Feb 2017
Avg review time: 77 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "Big Data - " before the paper title in OpenConf.

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  1/2014 - 11

Face Recognition using Similarity Pattern of Image Directional Edge Response

BASHAR, F. See more information about BASHAR, F. on SCOPUS See more information about BASHAR, F. on IEEExplore See more information about BASHAR, F. on Web of Science, KHAN, A. See more information about  KHAN, A. on SCOPUS See more information about  KHAN, A. on SCOPUS See more information about KHAN, A. on Web of Science, AHMED, F. See more information about  AHMED, F. on SCOPUS See more information about  AHMED, F. on SCOPUS See more information about AHMED, F. on Web of Science, KABIR, H. See more information about KABIR, H. on SCOPUS See more information about KABIR, H. on SCOPUS See more information about KABIR, H. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (907 KB) | Citation | Downloads: 533 | Views: 1,943

Author keywords
discrete cosine transform, face recognition, feature extraction, image texture analysis, pattern analysis

References keywords
recognition(31), face(25), pattern(17), local(11), analysis(10), image(8), binary(6), vision(5), machine(5), information(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-02-28
Volume 14, Issue 1, Year 2014, On page(s): 69 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.01011
Web of Science Accession Number: 000332062300011
SCOPUS ID: 84894635007

Abstract
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An effective face descriptor is critical for a successful face recognition system and must overcome the challenges of changing environment. The face representation must have discriminatory information and be computationally feasible for any face recognition system. In this paper we propose a new face descriptor, Similarity Pattern of Image Directional Edge Response (SPIDER), for face recognition. An image is divided into smaller local regions and 8 directional edge responses are generated for each pixel position in the regions. The regional cumulative response of each direction is calculated and a histogram is generated consisting of 8 bins, one for each of the directions. The SPIDER code is generated by calculating the similarity between the histogram of the local region around each pixel against the histogram of neighbor regions. The feature vector is projected to a low-dimension vector space using a dimension reduction method to minimize the classification time. Experiments using the proposed method were carried out on the FERET database and results show improved recognition rates indicating the robustness to changing environment, and a low classification time compared to the existing methods.


References | Cited By

Cited-By ISI Web of Science

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Cited-By CrossRef

SCOPUS® Times Cited: 5
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Cited-By CrossRef

[1] A Low Cost Structurally Optimized Design for Diverse Filter Types, Kazmi, Majida, Aziz, Arshad, Akhtar, Pervez, Ikram, Nassar, Zeng, Li, PLOS ONE, ISSN 1932-6203, Issue 11, Volume 11, 2016.
Digital Object Identifier: 10.1371/journal.pone.0166056
[CrossRef]

[2] Gradient-Orientation-Based PCA Subspace for Novel Face Recognition, Ghinea, Gheorghita, Kannan, Rajkumar, Kannaiyan, Suresh, IEEE Access, ISSN 2169-3536, Issue , 2014.
Digital Object Identifier: 10.1109/ACCESS.2014.2348018
[CrossRef]

[3] Face Recognition Performance Improvement using a Similarity Score of Feature Vectors based on Probabilistic Histograms, SRIKOTE, G., MEESOMBOON, A., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.03015
[CrossRef] [Full text]

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Copyright ©2001-2017
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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