A Lightweight Interactive System for Iris Color Change Service 


Vol. 15,  No. 3, pp. 219-229, Mar.  2026
https://doi.org/10.3745/TKIPS.2026.15.3.219


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  Abstract

With the recent increase in demand for augmented reality-based beauty technologies and personalized user experiences, the need for automated and real-time iris color changing or virtual color contact lens try-on services has grown significantly. However, conventional 0software-based iris color changing methods are limited in terms of real-time application and user convenience due to the boundary precision and latency of automation tools, the proficiency required for manual editing, and the reliance on repetitive tasks. This study proposes an automated system that integrates face, eye, and iris detection as well as masking and color modification within a single pipeline, based on a lightweight deep learning model utilizing a multi-task loss function. Experimental evaluations show excellent performance, with median blind reading scores of 4.62/5 for masking accuracy and 4.51/5 for color naturalness, and a 98% match rate for iris count. In terms of efficiency, the median per-frame latency was measured at 142.00 ms (7.04 FPS), and system memory usage was stably maintained within a maximum of 95.852 MiB.

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[IEEE Style]

D. Lim, H. Kang, W. Lee, "A Lightweight Interactive System for Iris Color Change Service," The Transactions of the Korea Information Processing Society, vol. 15, no. 3, pp. 219-229, 2026. DOI: https://doi.org/10.3745/TKIPS.2026.15.3.219.

[ACM Style]

Damin Lim, Hansol Kang, and Woonghee Lee. 2026. A Lightweight Interactive System for Iris Color Change Service. The Transactions of the Korea Information Processing Society, 15, 3, (2026), 219-229. DOI: https://doi.org/10.3745/TKIPS.2026.15.3.219.

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