Proceedings of the 2012 National Conference on Information Technology and Computer Science

Application of Ant Colony Algorithm in Fingerprint Identification System Based on Internet of Things

Authors
Zhigao Chen
Corresponding Author
Zhigao Chen
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.1How to use a DOI?
Keywords
component;internet of Things; Ant colony algorithm; Pheromone;
Abstract
The Internet of things is a network which connected to objects through the Internet, internet was treated as the foundation and the core ,by which the most date transmission is wireless information and intelligent processing information, in this situation for one thing ,the social efficiency can greatly improved, for another , the problem of security such as identity authentication and privacy issues. Fingerprint identification can be effectively applied in identity authentication, while there is a high rate of false rejection and false acceptance in traditional fingerprint identification method. An adaptive ant colony algorithm was present in this paper, by which the threshold was set. The image segmentation fingerprint sample image was devide to blocks in the client, and were sent to the server for matching. As the experimental results shown, the system can effectively improve the recognition rate of fingerprint remotely.
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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhigao Chen
PY  - 2012/11
DA  - 2012/11
TI  - Application of Ant Colony Algorithm in Fingerprint Identification System Based on Internet of Things
BT  - 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.1
DO  - https://doi.org/10.2991/citcs.2012.1
ID  - Chen2012/11
ER  -