Research On Hand Blood Vessel Recognition Algorithm Based On Infrare

Obtaining accurate,obvious and intuitive venous information is very important for accurately locating human dorsal hand vein vessels to assist medical staff in intravenous injection,or for accurately extracting characteristics of dorsal hand vein for identity identification.Therefore,this paper designed and built an image acquisition system for dorsal hand vein based on near infrared detection technology,and collected infrared vein images used in this experiment.The dorsal hand vein images acquired by infrared cameras are often of low quality because of uneven illumination,blurred edge details and more noise,which are not conducive to image processing.The characteristic information of dorsal hand vein obtained by using the existing infrared dorsal hand vein image processing algorithm is often different from the reality,such as fuzzy edge information,more noise,inconsistent thickness of dorsal hand vein features.Therefore,aiming at the problem that venous characteristic information is not accurate enough in the process of acquiring,this paper proposes a processing algorithm for venous image enhancement and segmentation of dorsal hand vein based on the characteristic structural information of dorsal hand vein,and the detailed information is restored to the original image,so that the edge of the blood vessel can be more clearly seen when observing,which is convenient for medical staff to perform subcutaneous venous puncture of the back of hand.Relieve the tension of medical staff and patient’s discomfort during puncture.In this paper,on the enhancement and segmentation of dorsal hand vein image,the corresponding image preprocessing algorithm is designed to deal with the low contrast,uneven illumination and noise of the acquired dorsal hand vein image,and MATLAB is used for experimental verification and analysis of the experimental results.Then,on the basis of the pre-treated dorsal hand vein vessel images,the vein characteristic information was extracted as completely as possible,and the fractured vein characteristics in the processing process were repaired to obtain the final dorsal hand vein vessel characteristic information.As for the feature repair of broken veins in the vein feature information obtained during the segmentation of dorsal hand veins,morphology algorithm was adopted in this paper for dilatation processing,so that the broken veins could be reconnected,and noise information existing in the binarization image after the above processing was removed by the algorithm,providing a good basis for the subsequent image feature connection and refinement operation.In this paper,the proposed image processing algorithm based on the characteristics of dorsal hand veins was tested respectively,and evaluated from the subjective evaluation method and objective evaluation method.The experimental results show that the infrared dorsal hand vein image recognition algorithm in this paper can obtain more accurate,clear and intuitive vein characteristic information,which is conducive to improving the work efficiency of medical staff and reducing the physical and mental pressure of patients.Good dorsal hand vein recognition can also be used in the field of human features recognition.