IRIS Recognition System using Machine Learning

Anchal and Priyanka Bansal

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 8, 261-265

Abstract: This paper aims to propose methods for preprocessing iris images for iris recognition, which include image enhancement and boundary detection. While iris recognition is widely recognized as a dependable identification method, its adoption is limited due to various factors such as production costs, processing time, and recognition rates. The challenges related to production costs and processing time are expected to be mitigated with advancements in integrated circuit technology. However, the primary issue affecting recognition rates is not the iris itself, but rather the acquisition of high-quality iris images. Consequently, the quality of iris images has become a critical aspect of current iris recognition systems. This preprocessing stage involves both hardware and software design considerations, both of which are addressed in this paper.

Keywords: Iris Recognition; Image Preprocessing; Hough Transform; Histogram Equalization (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT239924
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Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v9:y2023:i8:id:hcseit239924

DOI: 10.32628/CSEIT239924

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