Ordinal entropy-based novel personal identification using colour channels of visible-light iris image
- Resource Type
- Original Paper
- Authors
- Sheena, S.; Mathew, Sheena; Krishna, Bindu M.
- Source
- Signal, Image and Video Processing. :1-9
- Subject
- Visible-light iris image
Ordinal patterns
Dispersion entropy
Correlation
Correlation feature vector
- Language
- English
- ISSN
- 1863-1703
1863-1711
This paper proposes an iris recognition system for use with visible-light iris images employing the nonlinear analysis method of dispersion entropy (DE). The difference in the pattern of iris between different individuals is identified by fusing correlation between sets of the DE values of rows and columns of each RGB channel. The colour iris images from the popular iris database UPOL are used in experimental analysis. The results show that the differential identification of iris images can be effectively performed by this proposed method.