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Methods for Iris Segmentation
- Source :
- Handbook of Iris Recognition ISBN: 9781447144014, Handbook of Iris Recognition
- Publication Year :
- 2012
- Publisher :
- Springer London, 2012.
-
Abstract
- Under ideal image acquisition conditions, the iris biometric has been observed to provide high recognition performance compared to other biometric traits. Such a performance is possible by accurately segmenting the iris region from the given ocular image. This chapter discusses the challenges associated with the segmentation process, along with some of the prominent iris segmentation techniques proposed in the literature. The methods are presented according to their suitability for segmenting iris images acquired under different wavelengths of illumination. Furthermore, methods to refine and evaluate the output of the iris segmentation routine are presented. The goal of this chapter is to provide a brief overview of the progress made in iris segmentation.
- Subjects :
- Active contour model
Biometrics
urogenital system
Computer science
business.industry
fungi
Iris recognition
Scale-space segmentation
urologic and male genital diseases
female genital diseases and pregnancy complications
medicine.anatomical_structure
Ideal image
Market segmentation
medicine
Computer vision
Segmentation
cardiovascular diseases
Artificial intelligence
Iris (anatomy)
business
Subjects
Details
- ISBN :
- 978-1-4471-4401-4
- ISBNs :
- 9781447144014
- Database :
- OpenAIRE
- Journal :
- Handbook of Iris Recognition ISBN: 9781447144014, Handbook of Iris Recognition
- Accession number :
- edsair.doi...........223f4d7bdecba64c255771dbf1f48e0e