A Novel System of Fingerprint Recognition Approach for Immigration Control
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 3
Abstract
Abstract : Insecurity is a pressing and important issue that needs urgent attention in Nigeria. The dramatic increase in worldwide flow of people, goods, and ideas has created a new group of threats. These are global organized crimes such as smuggling, trafficking, terrorism; crossâborder crimes, illegal migration, amongst others. It has been noted that these foreigners device a means of beating security devices put in place at the border. The Nigerian Immigration uses Automated Fingerprint identification system (AFIS) minutiae base, which is the most popular and extensively used method for fingerprint identification. It show poor performance for real time authentication and it has less noise tolerant unlike the correlation base approach. The authors therefore proposes an hybrid fingerprinting method that combines two approaches namely minutiae and correlation methods that can help identify identity fraud. The sole idea behind this is that one technique makes up for the deficiency of the other by so doing we obtain a reliable and efficient result and provide a more secured environment where immigrants will not be able to beat the system with their fraudulent tactics or acts as currently experienced. Java programming language is used because of its platform independence, scalability, easy integration, implementation and upgrade.
Authors and Affiliations
Fatai . O. Waheed , Awotunde . J. Bamidele , Matiluko . E. Opeyemi
Keywords
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- EP ID EP126637
- DOI 10.9790/0661-16333942
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