Improved linear discriminant analysis based on two-dimensional Gabor for palmprint recognition

摘要

In this paper, a method of Gabor plus improved two-dimensional linear discriminant (Gabor+I2DLDA) which is a improved 2DLDA method by integrating the Gabor wavelet representation of palm images is proposed. Traditional two-dimensional linear discriminant (2DLDA) method eliminates the column relevance of the image, while improved 2DLDA is a direct 2DLDA method which is defined in the traditional 2DLDA basis. In this approach, the Gabor wavelets are used to extract palmprint features. The proposed Gabor+I2DLDA yields greater palmprint recognition accuracy while reduces the dimension. The effectiveness of the proposed algorithm is also verified using the PolyU palmprint databases for palmprint recognition.