BIOMETRIC PERSONAL IDENTIFICATION ON 2D WAVELET TRANSFORM AND CHI-SQUARED MODEL
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2015, Vol 14, Issue 9
Abstract
Iris recognition system consists of image acquisition, iris preprocessing, iris segmentation and feature extraction with comparism (matching) stages. The biometric based personal identification using iris requires accurate iris segmentation for successful identification or recognition. Recently, several researchers have implemented various methods for segmentation of boundaries which will require a modification of some of the existing segmentation algorithms for their proper recognition. Therefore, this research presents a 2D Wavelet Transform and Chi-squared model for iris features extraction and recognition. Circular Hough Transform was used for the segmentation of the iris image. The system localizes the circular iris and pupil region and removes the occluding eyelids and eyelashes. The extracted iris region is normalized using Daugman’s rubber sheet model into a rectangular block with constant dimensions to account for imaging inconsistencies. Finally, the phase data (iris signature) from the 2D wavelet transform data is extracted, forming the biometric template. The chi-squared distance is employed for classification of iris templates and recognition. Implementing this model can enhance identification. Based on the designed system, an FAR (False Acceptances ratio) of 0.00 and an FRR (False Rejection Ratio) of 0.896 was achieved.
Authors and Affiliations
Taiwo TundeAdeniyi, Olatubosun Olabode, Gabriel B. Iwasokun, Samuel A. Oluwadare, Raphael O. Akinyede
COMPARATIVE STUDY OF STATIC METRICS OF PROCEDURAL AND OBJECT ORIENTED PROGRAMMING LANGUAGES
The goal of this study is to compute and analyze an assortmentof static software metrics for different programming methods ortechniques. Software engineering is branch of Computer Sciencethat deals with an effective deve...
A REVIEW ON MULTISCALE TEXTURE FEATURES USING STEERABLE PYRAMIDS
As a result of recent advancements in digital storage technology, it is now possible to create large and extensive databases of digital imagery. These collections may contain millions of images and terabytes of data. For...
Applying of an Ontology-driven Case-based Reasoning System in Logistics
The management of logistics projects is a well known part of management science. But until now, purely quantitative and hard project management techniques like the critical path method and the project evaluation and rev...
Fuzzy Cognitive Maps Based Election Results Prediction System
Prediction and forecast are common words in the area of election. It can also be related with word “opinion pollâ€. Although according to dictionary the meaning/definition of prediction is limited but practically pred...
Comparative Analysis of Color Video Enhancment Techniques
Contrast enhancement has an important role in image processing applications. This paper presents a color enhancement algorithm based on adaptive filter technique. First, the proposed method is divided into three major pa...