• Jyotirmoy Pathak

This paper proposes a system for iris pattern analysis by using a filter based architecture of Haar Wavelet Transform (HWT). Feature encoding and iris code matching are two main modules of this system. In spite of having many other methods 2D HWT is chosen because of its high speed and computational simplicity. Unrolled iris images are filtered using low pass and high pass HWT filters in feature extraction module. Filtering is required four times to generate corresponding coefficients so we developed architecture up to 4th decomposition level. Iris code matching is performed by calculating hamming distance in 2nd module. This design has been implemented using system-level modeling tool that facilitates FPGA hardware design. It extends Matlab Simulink in many ways to provide a modeling environment that is well suited to hardware design. In this paper Signal Processing is implemented as an application of bio-medical on Xilinx FPGA board–ML507. The ML507 board utilizes Xilinx Virtex 5 XC5VFX70T-FF1136 device.

HWT, System generator, Mallot algorithm, image compression, sub-band coding, iris reorganization.

"HARDWARE IMPLEMENTATION OF 2D HAAR WAVELET TRANSFORM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.143-147, February-2019, Available :http://www.jetir.org/papers/JETIREL06028.pdf

"HARDWARE IMPLEMENTATION OF 2D HAAR WAVELET TRANSFORM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp143-147, February-2019, Available at : http://www.jetir.org/papers/JETIREL06028.pdf