Uncovering vein pattern using generative adversarial network

Gehua Ma; Biao Wang; Chaoying Tang

doi:10.1117/12.2539601

14 August 2019 Uncovering vein pattern using generative adversarial network

Gehua Ma, Biao Wang, Chaoying Tang

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111793R (2019) https://doi.org/10.1117/12.2539601
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

Vein distribution is important in medical treatments. It could also be used for identity authentication¹ . As a basic part of our body, the blood vessel has the merits of universality and distinctiveness. However, vein patterns are usually not visible in color images, which carries significant limitation. To address this limitation, we proposed a deep-learningbased method. Our method can uncover vein distributions from color images, help relieving pains to patients and widening the application scenarios of vein patterns. Experimental results showed that the proposed method has reliable performance and robustness in varying environments.

Citation Download Citation

Gehua Ma, Biao Wang, and Chaoying Tang "Uncovering vein pattern using generative adversarial network", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111793R (14 August 2019); https://doi.org/10.1117/12.2539601

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