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https://link.springer.com/chapter/10.1007/978-3-540-36668-3_42
In this paper, a novel scheme of palmprint identification is proposed. We apply 2-dimensional 2_band (Discrete Wavelet Transform) and 3_band wavelet decomposition to get the low subband images, and then use them as identification feature vectors. We choose support vector machines as classifier.Cited by: 14
https://www.sciencedirect.com/science/article/pii/S1877050919310658
They show that Hidden Markov Models combined with six states and two Gaussian mixtures can get the highest accuracy of 97.80% in one-to-320 matching test. To improve the performance of the existing palmprint recognition system, multispectral palmprint recognition system …Cited by: 1
https://file.scirp.org/pdf/JSIP20120200020_90956790.pdf
A multispectral palmprint recognition system using wavelet based image fusion has been proposed in [15]. It ... Finally, support vector machines (SVMs) [20] are used to train the reduced fea- ture sets of different individuals and verify the identity.
https://arxiv.org/pdf/1603.09027.pdf
Palmprint Recognition Using Deep Scattering Convolutional Network Shrevin Minaee1.* and Yao Wang1 ... Dale proposed a texture-based palmprint recognition using DCT features. In [7], an algorithm is proposed for palmprint recognition which ... minimum distance classifier and support vector machines are explained in sections III.A and III.B 2.
https://link.springer.com/article/10.1007%2Fs11390-008-9173-4
Nov 03, 2008 · This paper presents a wavelet-based kernel Principal Component Analysis (PCA) method by integrating the Daubechies wavelet representation of palm images and the kernel PCA method for palmprint recognition. Kernel PCA is a technique for nonlinear dimension reduction of data with an underlying nonlinear spatial structure. The intensity values of the palmprint image are first normalized …Cited by: 33
https://www.researchgate.net/publication/241179270_Palm_print_recognition_using_Local_Binary_Pattern_operator_and_support_vector_machines
Download Citation Palm print recognition using Local Binary Pattern operator and support vector machines This paper presents a novel technique of obtaining the Region of Interest (ROI) which ...
https://www.researchgate.net/publication/8345770_Wavelet_Support_Vector_Machine
Rank wavelet support vector machine (rank-WSVM) [27, 28] is proposed to apply in the classification of complex disturbances. A new method for the classification of PQ disturbances was proposed by ...
https://dl.acm.org/citation.cfm?id=2149463
This paper proposed a novel and successful method for recognizing palmprint using 2D-Gabor wavelet filter based sparse coding (SC) algorithm and the radial basis probabilistic neural network (RBPNN) classifier proposed by us Features of Palmprint images are extracted by this SC algorithm, which exploits feature coefficients' Kurtosis as the maximum sparse measure criterion and a variance term ...Cited by: 4
https://dl.acm.org/citation.cfm?id=1518403
A survey of palmprint recognition. Share on. ... Zhou, Y. Peng, M. Yang, Palmprint recognition using wavelet and support vector machines, in: The Ninth Pacific Proceeding of IEEE Interna c Rim International Conference on Artificial Intelligence Guilin, China, 2006, pp. 285-393.Author: KongAdams, ZhangDavid, KamelMohamed
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721776/
Wang et al. combined support vector machines (SVMs) with a k-nearest neighbors algorithm and a minimum distance classifier for palmprint and palm-vein feature matching. Recently, the effectiveness of finger vein recognition was proved by Liu et al. [ 20 ] using a novel point manifold distance metric.Cited by: 5
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