Translator Disclaimer
Paper
16 October 2019 A study on palm vein image generation using near infrared images and color images based on deep learning
Author Affiliations +
Proceedings Volume 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019); 112050Q (2019) https://doi.org/10.1117/12.2541828
Event: Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 2019, Phuket, Thailand
Abstract
Palm veins images are taken by a near infrared camera and a common digital camera. It is possible to generate clear vein images using near-infrared rays, but this is not easy using a color image. A near infrared palm vein image for training data and a color image were arranged in a dataset pair; the datasets were learned using a deep learning method called pix2pix. Clear palm vein images close to the near infrared image were generated using our proposed method. Our experimental results showed that we can take a palm vein image using only a general digital camera without a near infrared camera. Realization of palm veins authentication on an inexpensive smartphone is expected.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Reo Tokuke, Makoto Takamatsu, Eizaburo Iwata, and Makoto Hasegawa "A study on palm vein image generation using near infrared images and color images based on deep learning", Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112050Q (16 October 2019); https://doi.org/10.1117/12.2541828
PROCEEDINGS
6 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Infrared image acquisition system for vein pattern analysis
Proceedings of SPIE (September 28 2016)
An automatic white balance method based on gray world and...
Proceedings of SPIE (October 25 2016)
Prototype vein contrast enhancer
Proceedings of SPIE (July 01 2004)
Color the night: applying daytime colors to nighttime imagery
Proceedings of SPIE (September 23 2003)

Back to Top