Research on Automatic Verification of Electronic Tickets for Multi track Fusion Stations Based on Face Recognition
In a noisy station environment,the validation equipment may be disturbed by ambient noise and light,resulting in low accuracy of electronic ticket automatic test.In response to the above situation,a multi track fusion station electronic ticket automated verification method based on facial recognition is studied.In response to the situation where the feature information of the original fa-cial image is not obvious or lost,the implementation of facial illumination correction and facial occlusion restoration processing can improve the quality of the facial image.Extract LBP features from facial images and calculate their histograms to obtain LBP feature histogram feature vectors.The recognition model is constructed based on Convolutional neural network,and the corresponding face image is recognized from the ticket information database,thus completing the automatic verification of electronic tickets.The results indicate that under the application of the studied method,the F1 value is larger,indicating that the validation ability of this method is stronger and can better ensure the accuracy of electronic ticket automation validation in multi track fusion stations.
万方数据
维普
