An iris matching algorithm for reliable person identification optimized level of decomposition

Human iris provides a unique structure suitable for non-invasive biometric assessment. So many researchers have been trying to improve the algorithm for reliable iris recognition. This paper presents a new iris matching method to control the misclassification error. Daubechies wavelet transform is used to extract the textural features. Combining the normalized correlation of the wavelet coefficients of optimized decomposition level with existing approach, efficient matching is obtained, thus performing person identification with much ease and evidenced.