Enhancement in iris recognition system using FPGA

The growth of using the iris recognition over the globe for identification and for verification and the problem that faces the iris recognition from noise like eyelash and eyelid. This paper focus on choosing the right pattern to collect the traits. The algorithm of this paper is searching and working on different rectangle iris template to spotting the ultimate traits that lies within rectangle iris templates. The Ridge Energy Direction (RED) is used as algorithm to spot the features that lies within the template. The overall iris system is design, implemented and tested on the Field Programmable gate Area (FPGA).

Publication Details

Journal
Periodicals of Engineering and Natural Sciences (PEN)
Published
2025-12-04
DOI
https://doi.org/10.21533/pen.v8.i4.1387
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancement in iris recognition system using FPGA

Periodicals of Engineering and Natural Sciences (PEN)
Biometric Identification and Security
article

Enhancement in iris recognition system using FPGA

article en

Abstract

The growth of using the iris recognition over the globe for identification and for verification and the problem that faces the iris recognition from noise like eyelash and eyelid. This paper focus on choosing the right pattern to collect the traits. The algorithm of this paper is searching and working on different rectangle iris template to spotting the ultimate traits that lies within rectangle iris templates. The Ridge Energy Direction (RED) is used as algorithm to spot the features that lies within the template. The overall iris system is design, implemented and tested on the Field Programmable gate Area (FPGA).

Periodicals of Engineering and Natural Sciences (PEN)Vol. 8(4)
Openalex Percentile: Top 38%
Biometric Identification and Security
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Enhancement in iris recognition system using FPGA · Periodicals of Engineering and Natural Sciences (PEN) (2025) | TGRS Research Map | TGRS