Abstract—In human, footprint pressure is the biometric system. Everyone has specific pressure patterns. It can help doctors diagnose foot-related diseases. Especially in diabetic patients, who have a problem caused by lack of sensation in the foot, they don’t feel any pain when they have ulcers at the high-pressure point. In addition, The specific pressure patterns can be used instead of user authentication because the biometric system is more secure than the password-based system. The password-based system cannot verify that the person who entered the password is valid or not. Therefore the specific pressure patterns are the alternative to user authentication or patient classification. For these reasons, it’s interesting to use footprint pressure patterns in personal recognition for diagnosing and classification. In this paper, we used the footprint pressure patterns to identify n = 65 subjects with classification rates of 90.56% using convolutional neural network training for deep learning classification.

Index Terms—footprint, foot pressure, biometric, image processing

Cite:Tanapon Keatsamarn, Sarinporn Visitsattapongse, and Chuchart Pintavirooj, "Footprint Pressure-Based Personal Recognition," International Journal of Pharma Medicine and Biological Sciences, Vol. 9, No. 2, pp. 65-69, April 2020. doi: 10.18178/ijpmbs.9.2.65-69

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.