The most widely used fingerprint recognition technology is to extract the texture information and features of the skin fingerprint, and then use the algorithm to match and identify, and finally confirm the identity. However, when there are dirt and water stains on the fingerprint of the skin, or when the fingerprint skin is worn or even peeled off, the generation of these factors will bring difficulties to the identification system. In this study, optical coherence tomography (OCT) was used to obtain the three-dimensional structure of the finger fingerprint, and the three-dimensional structure inside the fingerprint was identified. The three-dimensional structure image of the fingerprint obtained by the OCT system can not only observe the fingerprint skin information, but also acquire the image information of the internal structure of the fingerprint. Taking the acquired three-dimensional structure image of fingerprint as the research object, a three-dimensional convolutional neural network model is constructed based on the theory of deep learning, and the features of image data is extracted and trained to achieve the purpose of recognition.
In recent years, because of its safety and effectiveness, photothermal therapy has also become an important way to treat malignant tumors. However, due to the photothermal conversion effect, the heat deposited in the lesion area will spread to other parts of the biological tissue in the way of heat conduction in the treatment process, which is likely to cause some damage to other normal tissues. Optical coherence tomography (OCT) can reconstruct internal high-resolution images to observe the extent of tissue injury. The image of tissue damage structure obtained by OCT system can observe not only the external damage of tissue, but also the internal damage of tissue. The OCT images of damage tissue are taken as the research object, and a semantic segmentation model of deep learning was constructed to separate and visualize the damage tissue, which can help to accurately identify the damage range quickly.