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Paper Title: FT-PCA Offline Palmprint Recognition Model
Authors Name: Pratibha , Satnam Singh , Bhanu Gupta
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Published Paper Id: IJNRD_1901006
Published In: Volume 4 Issue 4, April-2019
Abstract: By increasing the security of parson’s authentication (identification and verification) the palmprint modality played most important trait compare with another biometrics trait (physiological or behavioral) and it is active research which made more attention for the researcher who interest in biometrics fields. In the recent years, there are numbers of technologies were developed related to biometrics authentication system but the palmprint get less development depend on reliability and cost. The palmprint approach can be classified into two categories depend on the palmprint image data type such as grayscale, 3D and multispectral. There are many of researchers working in gray scale image compare with the less researcher working in 3D and multispectral palmprint images. Recently the multispectral data are used in many areas such as face, iris and palmprint. As a definition of palmprint which defines as a small area of palm surface, which containing more information which is useful for person authentication system, in additional it has a unique feature (uniqueness means no two people has same this feature) also it called permanence it will not change in all period of time in the life. For this reason, palmprint are reliable and confident modality between the same categories of palmprint like fingerprint and face etc. Regarding palmprint features, it has rich of features some of this feature is similar to fingerprint line minutiae feature that contain ridge ending and ridge bifurcation. Also, it has many features namely Geometry feature, Delta point feature, principal lines feature and finally the wrinkles feature. All these features are extracted with different methods. Also, this feature can be captured by different resolution devices (low or high) resolution this one of advantages of palmprint which is there is side effect by devices used to capture the palm image. Another advantage is it has a small area with a lot of information to extract compare with another, also it has high acceptance. The proposed work will be developed in MATLAB and tested on different databases available for palmprint recognition. Also the comparisons of the tested results are made for achieving accuracy and efficiency for its versatility of operation over a global population.
Keywords: Palmprint, Fourier Transforms, PCA, MATLAB
Cite Article: "FT-PCA Offline Palmprint Recognition Model", International Journal of Novel Research and Development (, ISSN:2456-4184, Vol.4, Issue 4, page no.30_35, April-2019, Available :
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