Fast palmprint identification with multiple templates per subject

Feng, Yue; Zuo, Wangmeng; Zhang, David; Li, Bin

doi:10.1016/j.patrec.2011.02.019

Cited by 21 publications

(6 citation statements)

References 17 publications

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“…e Log-Gabor filter is capable of supporting us to extract such a kind of features. By setting various factors and filtering directions, we can obtain more representative abundant features through the Log-Gabor filter [18,19]. Feature coding is the other important process, in which a more discriminative feature coding method helps to further improve the performance of the system.…”

Section: Discussion On Log-gabormentioning

confidence: 99%

Research and Development of Palmprint Authentication System Based on Android Smartphones

Zhang

Jing

Song³

2020

Mobile Information Systems

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The security problems of online transactions by smartphones reveal extreme demand for reliable identity authentication systems. With a lower risk of forgery, richer texture, and more comfortable acquisition mode, compared with face, fingerprint, and iris, palmprint is rarely adopted for identity authentication. In this paper, we develop an effective and full-function palmprint authentication system regarding the application on an Android smartphone, which bridges the algorithmic study and application of palmprint authentication. In more detail, an overall system framework is designed with complete functions, including palmprint acquisition, key points location, ROI segmentation, feature extraction, and feature coding. Basically, we develop a palmprint authentication system having user-friendly interfaces and good compatibility with the Android smartphone. Particularly, on the one hand, to guarantee the effectiveness and efficiency of the system, we exploit the practical Log-Gabor filter for feature extraction and discuss the impact of filtering direction, downsampling ratio, and discriminative feature coding to propose an improved algorithm. On the other hand, after exploring the hardware components of the smartphone and the technical development of the Android system, we provide an open technology to extend the biometric methods to real-world applications. On the public PolyU databases, simulation results suggest that the improved algorithm outperforms the original one with a promising accuracy of 100% and a good speed of 0.041 seconds. In real-world authentication, the developed system achieves an accuracy of 98.40% and a speed of 0.051 seconds. All the results verify the accuracy and timeliness of the developed system.

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Section: Discussion On Log-gabormentioning

confidence: 99%

Research and Development of Palmprint Authentication System Based on Android Smartphones

Zhang

Jing

Song³

2020

Mobile Information Systems

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“…However, it can not provide translation invariant performance by reducing the dimension of integer codes directly. Yue (F. Yue et al, 2011) proposed an approach to speed up the coding based palmprint recognition method by building a template tree to perform fast nearest neighbor searching. For both of these methods, the final classification is still based on pixel-to-pixel code template matching by Hamming distance.…”

Section: Introductionmentioning

confidence: 99%

Fourier Spectral of PalmCode as Descriptor for Palmprint Recognition

Ruan

Spreeuwers

et al. 2013

Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods

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Abstract:Study on automatic person recognition by palmprint is currently a hot topic. In this paper, we propose a novel palmprint recognition method by transforming the typical palmprint phase code feature into its Fourier frequency domain. The resulting real-valued Fourier spectral features are further processed by horizontal and vertical 2DPCA method, which proves highly efficient in terms of computational complexity, storage requirement and recognition accuracy. This paper also gives a contrast study on palm code and competitive code under the proposed feature extraction framework. Besides, experimental results on the Hongkong PolyU Palmprint database demonstrate that the proposed method outperforms many currently reported local Gabor pattern approaches for palmprint recognition.

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“…B IOMETRICS technology has been attracting extensive attention from researchers and engineers of personal identification due to the ever growing demand on access control, public security, forensics and e-banking [1]. With the fast development of biometric data acquisition sensors and data processing algorithms, diverse biometric systems have been now widely used in various applications.…”

Section: Introductionmentioning

confidence: 99%

An efficient multispectral palmprint identification system using radial basis function

Meraoumia

Chitroub

Bouridane

2013

2013 IEEE 11th International New Circuits and Systems Conference (NEWCAS)

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Several studies for palmprint-based personal identification have focused on improving the performance of palmprint images captured under visible light. However, during the past few years, some researchers have considered multispectral images to improve the effect of these systems. Compared with color images, multispectral images provide additional information due to its variety of spectral bands. In this paper, we propose an efficient online personal identification system based on MultiSpectral Palmprint (MSP ) using the Radial Basis Function (RBF ) and two-dimensional Block based Discrete Cosine Transform (2D-BDCT ). In this study, a segmented MSP is firstly divided into non-overlapping and equal-sized blocks, and then, applies the 2D-BDCT over each block. By using zigzag scan order (starting at the top-left) each transform block is reordered to produce the feature vector. Subsequently, RBF method is used for modeling and so for classifying the feature vectors. The proposed method is validated for their efficacy on the available PolyU MSP Database of 300 users. Our experimental results show the effectiveness and reliability of the proposed approach, which brings both high identification and accuracy rate.

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Fast palmprint identification with multiple templates per subject

Cited by 21 publications

References 17 publications

Research and Development of Palmprint Authentication System Based on Android Smartphones

Research and Development of Palmprint Authentication System Based on Android Smartphones

Fourier Spectral of PalmCode as Descriptor for Palmprint Recognition

An efficient multispectral palmprint identification system using radial basis function

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