Face Verification Algorithm Using the Bag of Visual Words Model
LV Xiao-jun · Journal of Transportation Systems Engineering and Information Technology · 2013
With the development of train ticket real-name system,manual identity verification method no longer meets the actual demand.Therefore,this paper proposes a face verification method based on the bag-of-visual words model.This approach aims to automatically identity the verification based on face matching.First,the scale invariant feature transform(SIFT) feature is extracted for each image.Then,the bag-of-visual words model is used to construct the face typical feature.The study also trains the SVM classifier,which models the similarity between two images of an individual and the difference between two individuals.Finally,the passenger image and his ID card image are classified to determine whether they are belonging to the same person or not.The experimental result indicates that the proposed algorithm is able to effectively accomplish face verification,especially perform well in the circumstance with low image quality,and uncontrollable light and bright.