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Improved linear discriminant analysis based on two-dimensional Gabor for palmprint recognition | IEEE Conference Publication | IEEE Xplore

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


Abstract:

In this paper, a method of Gabor plus improved two-dimensional linear discriminant (Gabor+12DLDA) which is a improved 2DLDA method by integrating the Gabor wavelet repres...Show More

Abstract:

In this paper, a method of Gabor plus improved two-dimensional linear discriminant (Gabor+12DLDA) 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+12DLDA 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.
Date of Conference: 14-16 October 2011
Date Added to IEEE Xplore: 01 December 2011
ISBN Information:
Conference Location: Dalian, China

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