Pixel parallel vessel tree extraction for a personal authentication system
- 1 May 2008
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 02714302,p. 1596-1599
- https://doi.org/10.1109/iscas.2008.4541738
Abstract
Biometric features have been studied in order to be applied to authentication and identification systems due to its reliability. Among others, the retinal vessel tree have been proposed as a vessel pattern for personal authentication applications, since it is almost impossible to forge. In this kind of systems, the retinal vessel tree is computed from the retinal image, and then a registration process is made. Although reliable and remarkable results have been obtained in this vessel pattern-based system, the required computation effort is quite high, particularly to compute and extract the vessel tree. In this paper, a pixel parallel approach is proposed to tackle with the retinal vessel tree extraction to be used in a personal retinal authentication system, regarding the computation speed.Keywords
This publication has 12 references indexed in Scilit:
- On chip implementation of a pixel-parallel approach for retinal vessel tree extractionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Evolution of Pixel Level Snakes towards an efficient hardware implementationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Cellular Neural Networks With Virtual Template Expansion for Retinal Vessel SegmentationIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 2007
- Personal authentication using digital retinal imagesPattern Analysis and Applications, 2006
- CNN-based Automatic Retinal Vascular Tree ExtractionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Registration of digital retinal images using landmark correspondence by expectation maximizationImage and Vision Computing, 2004
- A review of vessel extraction techniques and algorithmsACM Computing Surveys, 2004
- Biometric cryptosystems: issues and challengesProceedings of the IEEE, 2004
- Fingerprint matching using an orientation-based minutia descriptorIeee Transactions On Pattern Analysis and Machine Intelligence, 2003
- Cellular neural networks: theoryIEEE Transactions on Circuits and Systems, 1988