• MANISH SANDE
• Rakesh Tiwari
• Mmukesh Dixit

Currently a lot of biometric procedures are being developed based on different features and algorithms. Iris, it is known that, from all of these advance techniques, iris recognition is one of the most promising for high security applications. In this advance, a scan is proposed to iris segmentation and recognition in iris based biometric system. In the new scan pixel, we use the modified circular image segmentor (MCFS) model to segment the pupil and iris inner boundary. Iris, a digital encoder based feature extraction scheme named as LCE is proposed to extract the significant features to do the iris recognition process. Once feature extraction scheme is done by the LCE operator, the iris recognition is done through image logic classifier. We use three datasets from widely used iris databases (CASIA, MMU and UBIRIS) to analyze the increase of the error rates when the iris is inaccurately segmented. We selected 780 images of the CASIA, MMU and UBIRIS databases that the used segmentation algorithm can accurately segment. From the experimentation results, the proposed method of MCFS+LCE is outperformed than the existing methods. An image is a rectangular grid of pixels. It has a definite height and a definite width and high counted in pixels. Using wavelet technics WDR STW EZW etc. Each color image pixel is square or circular and has a fixed size on a given display. However different photos may use different sized pixels. Each pixel has a colour. The colour image is a 32-bit integer. The first eight bits one color the redness of the pixel,

Modified circular fuzzy segmentor, Fuzzy logic classifier, Local circular operator, SPIHT, EZW, WDR, CASIA, MMU, UBIRIS

"Illustrate And Analysis of Iris Image Using Clustering And Wavelet Transform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.604-611, May-2019, Available :http://www.jetir.org/papers/JETIR1905P85.pdf

"Illustrate And Analysis of Iris Image Using Clustering And Wavelet Transform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp604-611, May-2019, Available at : http://www.jetir.org/papers/JETIR1905P85.pdf