High-Performance Iris Recognition for Mobile Platforms

In spite of a fact that many standalone iris recognition solutions are successfully implemented and deployed around the world, development of a reliable iris recognition solution capable to provide high recognition performance (both in biometric quality and speed) on mobile device is still an actual...

Full description

Saved in:
Bibliographic Details
Published in:Pattern recognition and image analysis 2018-07, Vol.28 (3), p.516-524
Main Authors: Odinokikh, G. A., Fartukov, A. M., Eremeev, V. A., Gnatyuk, V. S., Korobkin, M. V., Rychagov, M. N.
Format: Article
Language:English
Subjects:
Accuracy
Adaptive algorithms
Algorithms
Applied Problems
Biometric recognition systems
Biometrics
Cameras
Computer Science
Electronic devices
Feature recognition
Image Processing and Computer Vision
Image quality
Mobile communication systems
Pattern Recognition
Vector quantization
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In spite of a fact that many standalone iris recognition solutions are successfully implemented and deployed around the world, development of a reliable iris recognition solution capable to provide high recognition performance (both in biometric quality and speed) on mobile device is still an actual task. Main issues related to iris recognition in the mobile devices consist in uncontrollable capturing conditions and limitations in computation power. The aim of the proposed approach is to eliminate aforementioned issues by providing user with comprehensive feedback and, at the same time, performing the most computationally complex operations only on the images of the best quality. Key features of the proposed approach are multi-stage algorithm structure, novel iris image quality estimation and adaptive iris feature vector quantization algorithms. These features allow to achieve high recognition accuracy and real-time performance which are proved by experimental results.
ISSN:1054-6618
1555-6212
DOI:10.1134/S105466181803015X