Face Recognition Based On Hyper-feature

As a focus and difficulty in the field of Pattern Recognition and Image Processing, Face Recognition(FR),which Belongs to the biometrical identification technology, distinguishing between individual instances by their biologic feature,has an important significance and widely practical application.Traditional methods of Face Recognition require a number of training samples. However,in the practical,we are usually unable to obtain sufficient number of samples. And may even under the condition of having only one facial image,we must identity who is it.In this case,recognition rate of traditional methods declined significantly,and even unable to achieve the need of practical application.Under the condition of few or even only one instance,object identification based on hyper-feature can estimates the informative patches automatically,according to the vectors of hyper-feature which includes many features selected from the patch.In additional, according to the Statistical Learning Theory,it can also make a decision by matching the number of M most informative patches.On the other hand,the appearance changes with age and expression.In addition, hairstyle,glasses on the face and the light,imaging angle,distance and so on will easily affect the recognize result.Object identification based on hyper-feature,which adopts a patch-based mechanism,selecting the candidate patches around eyes and mouth,will reduce the affect caused by the change to a certain extent.This paper mainly on studying and researching the algorithms of object identification based on hyper-feature and PCA.With the application in face recognition,design the face recognition system based on hyper-feature and PCA respectively.In order to test the systems,we design testing parameter as recognition rate,time-consuming in training and recognizing one image,using the images after face detection and some pretreatment as input.By testing ORL faces and laboratory database,as well as analyzing the data of the experiment,the result show that the application of object identification based on hyper-feature in face recognition could solute the problem of the high dimension and small sample in the field of face recognition to a certain extent.In addition,the method not only reduces the limit of traditional one,such as the number of training data,the criterion of instances and so on,but also has a widely practical application and important signification.