This paper explores the possibility of using multispectral iris information to enhance the recognition performance of an iris biometric system. Commercial iris recognition systems typically sense the iridal reflection pertaining to the near-infrared (IR) range of the electromagnetic spectrum. This work examines the iris information represented in the visible and IR portion of the spectrum. It i...

The detection and aging of bruises is important within clinical and forensic environments. Traditionally, visual and photographic assessment of bruise color is used to determine age, but this substantially subjective technique has been shown to be inaccurate and unreliable. The purpose of this study was to develop a technique to spectrally-age bruises using a reflective multi-spectral imaging s...

* This paper describes work on the development of symbolic registration and change analysis techniques applied to the problem of the comparison of pairs of images of a scene to generate descriptions of the changes in the scene. Unlike earlier work in change analysis, all the matching and later analysis is performed symbolically. We also discuss techniques for the generation of symbolic descript...

Copyright © 2013 Heesung Kwon et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Recent advances in multispectral and hyperspectral sensing technologies coupled with rapid growth in computing power have led to new opportunities...

This paper deals with the classification of objects into the limited number of classes. Objects are characterised by n-features, e.g. n-dimensional vectors describe them. The paper focuses on the Bayes classifier based on the probability principle, with the fixed number of the features during classification process. Bayes classifier, which uses criterion of the minimum error was applied on the ...

This paper proposes a novel multispectral feature extraction method according to the idea of canonical correlation analysis (CCA). Instead of extracting two groups of features with the same pattern (modality) as usual, the work explores another type of application of CCA that for extracting most correlated features from different face modalities to form effective discriminant vectors for recogn...

Unintentional surgical damage to nerves is mainly due to poor visualization of nerve tissue relative to adjacent structures. Multispectral photoacoustic tomography can provide chemical information with specificity and ultrasonic spatial resolution with centimeter imaging depth, making it a potential tool for noninvasive neural imaging. To implement this label-free imaging approach, a multispect...