Skin texture recognition of leg images based on chaotic mapping reorganization feature

Tianshu Zhang; Chaoying Tang; Qiaoyue Huang

doi:10.1117/12.2655913

12 January 2023 Skin texture recognition of leg images based on chaotic mapping reorganization feature

Tianshu Zhang, Chaoying Tang, Qiaoyue Huang

Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 125091P (2023) https://doi.org/10.1117/12.2655913
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China

Abstract

In criminal and victim identification, when information such as fingerprint and facial images cannot be obtained, the development of other new bio-metric recognition has become an important task. It is found from investigations that the lower leg is often exposed in an evidence image. If we can use the information to identify the identity of the suspect, it will be a great break-through for criminal investigation. Unlike faces or fingerprints, the image of a lower leg does not have many discriminative features. Therefore, capturing more information from an image has become the key to the success of recognition. Despite the rapid development of deep learning in recent years and the wide application of convolutional neural networks in biometric recognition, they are very dependent on a large amount of training data. In this paper, we propose a recognition method based on the combination of chaotic mapping and local binary pattern (LBP), which captures the nonlinear features of the image. Experimental results show that the method proposed in this paper has a better recognition rate and an encouraging performance.

Citation Download Citation

Tianshu Zhang, Chaoying Tang, and Qiaoyue Huang "Skin texture recognition of leg images based on chaotic mapping reorganization feature", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 125091P (12 January 2023); https://doi.org/10.1117/12.2655913

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KEYWORDS

Skin

Detection and tracking algorithms

Image fusion

Binary data

Chaos

Feature extraction

Image registration

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