Person Identification Using Iris Recognition: CVPR_IRIS Database
In recent days iris is as one of the useful traits for authentication using biometric recognition. Almost all publicly available iris image databases contain data correspondent to heavy imaging constraints and suitable to evaluate by various algorithms (CASIA Iris Image Database ; Proença et al. in IEEE Trans Pattern Anal Mach Intell 32(8):1529–1535, 2010 ). This paper is first to prepare our own IRIS IMAGE DATABASE and make the availability of it to the new researchers. We have thus proposed our own database named as CVPR_IRIS DATABASE with not heavy imaging constraints. This set up contains Iris Image Capture IR Sensitive CCD camera by which eye images are captured in the visible lighting conditions with IRLED source at a distance. Clear images from this database are separated from noisy images by quality assessment technique. Thus proposed CVPR_IRIS DATABASE containing total 485 eye images of 49 individuals is made available for researchers concerned with the implementation of algorithms based on research in iris recognition. Second using proposed database we have proved good accuracy using 2D Discrete Wavelet Transform.
KeywordsIris recognition Biometrics Non cooperative images Iris image acquisition Visible-light iris images
The author acknowledges the technical and nontechnical support given by CVPR Lab authorized faculty and TEQIP.
- 1.CASIA Iris Image Database. http://www.cbsr.ia.ac.cn/IrisDatabase.html
- 7.Ma L, Wrag Y, Tam T (2002) Iris recognition using circular symmetric filters. In: 16th international conference on pattern recognition, vol 2, pp 414–417Google Scholar
- 8.Tisse C-L, Torres L, Robert M (2002) Person identification based on iris patterns. In: Proceedings of the 15th international conference on vision interface, pp 215–229Google Scholar
- 9.Sanchez-Reillo R, Sanchez-Avila C, De Martin-Roche D (2002) Iris recognition for biometric identification using dyadic wavelet transform zero crossing. In: Proceeding of IEEE 35th Carnahan international conference on security technology, pp 272–277Google Scholar
- 13.Poursaberi A, Araabi BN (2007) Iris recognition for partially occluded images, methodology and sensitivity analysis. EURASIP J Adv Signal Process (Springer open J) 2007, Article ID 36751:1–12Google Scholar