Circular Construction of Iris Feature Vectors for Human Iris Recognition Systems
In this paper,the authors propose a new method to construct feature vectors of human iris based on circular technique.Since an iris has a circular shape,the circular construction of the iris feature vector is expected to have higher ability to capture iris characteristics.Different from the conventional method which constructs iris feature vectors through left to right scanning process,the circular technique scans the pixel-intensity value of iris circularly.As the result,the length of the constructed feature vectors is dependent on the length of iris radius.In the experiments,various recognition methods of feature vectors were compared.The iris recognition results show that the proposed system with Statistical Euclidean Distance method gives the highest recognition accuracy with 84.5%.
Iris recognition system Iris feature vectors Circular construction Back Propagation Neural Networks (BPNN)
Lina Danu Widatama Tony Mulia Benyamin Kusumoputro
Faculty of Information Technology, Tarumanagara University, Jakarta, Indonesia System and Application Division, Pricewaterhouse Coopers Indonesia, Jakarta, Indonesia Dept.of Electrical Engineering, Faculty of Engineering, University of Indonesia, Depok, Indonesia
国际会议
济南
英文
991-995
2013-05-18（万方平台首次上网日期，不代表论文的发表时间）