Opening book details…
Can I read Evaluation of Ripplet Transform as a Texture Characterization for Iris Recognition on EtoBox?
Evaluation of Ripplet Transform as a Texture Characterization for Iris Recognition by suchitra Khoje; Sagar Shinde is a Engineering article available to read on EtoBox.
What is Evaluation of Ripplet Transform as a Texture Characterization for Iris Recognition about?
Being a unique characterization of individuals, iris plays an important role for biometric identification utilized for individual authentication. A unique method based on Ripplet transform is explored for iris recognition application. Four features derived from Ripplet transform coefficients, namely average energy (AE),first absolute moment (FAM), variance (V) and entropy (E), are experimentally tested using statistical independent t test analysis, and it has been proved that entropy is an efficient and prominent feature which characterizes iris texture uniquely. The proposed method gives a maximum accuracy rate of 98.33% on CASIA V1.0 database.
Who reads Evaluation of Ripplet Transform as a Texture Characterization for Iris Recognition?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- suchitra Khoje; Sagar Shinde
- Publisher
- Springer Science and Business Media LLC
- Published
- 2023
- Language
- EN
- Field
- Engineering (Physical Sciences)