Palm-Dorsa Vein Recognition Based on Kernel Principal Component Analysis and Locality Preserving Projection Methods
Jia Xu · Journal of Northeastern University · 2012
In order to preserve the local structure of the palm-dorsa vein space,locality preserving projection(LPP) was applied to palm-dorsa vein recognition.In small-sized sample cases such as image recognition,the matrix of the eigenvalue equation is usually singular.To solve the problem,kernal principal component analysis(KPCA) method was presented to reduce the palm-dorsa vein space dimensions.Then LPP was used to extract the local features.The algorithm was tested in the existing palm-dorsa vein database.The results showed that the new method has much higher recognition rate and the feature extraction time is 2.6 s,so it satisfies the real-time system specifications.