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General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
.
Acceptance Rate:
19%
APC:
500 USD
Average Days to Accept:
135 days
Journal Metrics:
Impact Factor 2022: 1.0
3.1
2022
CiteScore
49th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-03-28
Vol. 15, No. 3 has been published online!
2024-02-26
The papers published in Vol. 15, Nos. 1&2 have been registered with Crossref.
2024-02-26
Vol. 15, No. 2 has been published online!
Home
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2018
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Volume 9, No. 3, August 2018
>
Palm Vein Recognition Based on 2D Gabor Filter and Artificial Neural Network
Rabikumar Meitram and Prakash Choudhary
Computer Science and Engineering Department, National Institute of Technology Manipur, Imphal, 795001, India
Abstract
—This paper presents a new approach to improve the performance of palm vein-based identification systems. Here palm vein is considered as a piece of texture and apply texture-based feature extraction technique. The palm vein from the database is used to identify the Region of Interest of that particular palm vein image. The extracted Region of Interest is than applied Gabor Filter for local features extraction. Extracted local features are then applied sequential feature reduction to reduce the features which are more unique. Reduced features vectors are then process using artificial neural network environment.
Index Terms
—palm vein, Gabor filter, ANN, Gaussian filter, ROI
Cite: Rabikumar Meitram and Prakash Choudhary, "Palm Vein Recognition Based on 2D Gabor Filter and Artificial Neural Network," Vol. 9, No. 3, pp. 68-72 August 2018. doi: 10.12720/jait.9.3.68-72
4-FT016
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