Abstract
Although there have been significant advancements in developing iris-based identification processes during recent years, there remains significant room for improvement. This paper presents an automatic iris recognition system including a novel approach to the iris localization and k-d tree code matching. In order to compare the k-d tree code-matching method proposed in this research, we have implement some of algorithms used in Iris recognition for the purposes of experiments and comparisons and achieved satisfactory results.
| Original language | American English |
|---|---|
| Pages (from-to) | 123-128 |
| Number of pages | 6 |
| Journal | Proceedings of 12th IEEE/ACIS International Conference on Computer and Information Science |
| DOIs | |
| State | Published - Jun 1 2013 |
ASJC Scopus Subject Areas
- Computer Science (miscellaneous)
- Information Systems
Keywords
- Iris Code Matching
- Iris Recognition
- KD Tree based Verification and Identification
- K-D Tree based Verification and Identification
Disciplines
- Computer Sciences
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