NEURAL NETWORK BASED MATCHING APPROACH FOR IRIS RECOGNITION
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 2
Abstract
Iris recognition has been considered as one of the most reliable biometrics technologies in recent years due to its high reliability in person identification. In this paper, an iris recognition system has been proposed. The recognition system relies on four fundamental steps. The first step consists of iris localization using Circular Hough Transform (CHT). In the subsequent step, image is normalized into a fixed dimension. Then normalized image is decomposed by 2-D Haar wavelet and textural features are extracted. Finally, for matching purposes ArtificialNeural Network (ANN) with back propagation is used. Iris recognition is very effective due to iris’ unique features and the protection of the iris from the environment and aging
Authors and Affiliations
Anjana Peter , Revathi N , Ms. Merlin Mercy
Keywords
Related Articles
- EP ID EP98899
- DOI -
- Views 87
- Downloads 0
Enhancer- A Time Commit Protocol
This paper contains content with the investigating the performance implications of providing transaction atomicity for a deadline real time applications operating on distributed data. Considering all the commit p...
An effective Golden Section Search Approach based Distribution Load Flow
Abstract—This paper presents an effective Golden Section Search approach based Distribution Load Flow (DLF) for planning of distributed generators as PQ and/or PV node. The practical distribution system may have diffe...
A Review of Query Image in Content Based Image Retrieval
CBIR applies to techniques for retrieving similar images from image databases, based on automated feature extraction methods. In recent years, the medical imaging field has been grown and is generating a lot more interes...
Positioning of mobile station using Received signal strength and Time of arrival
Positioning of users or Mobile Station (MS) in cellular systems becomes an interesting topic since the related number of applications for the location information is growing rapidly. Deploying such applications wou...
Study & Analysis of Web Content Mining Tools to Improve Techniques of Web Data Mining
Web content mining in normal parlance is to download information available on the websites. Such a process involves tremendous stress and time-taking. To augment such a process the software related to web content m...