Online Palmprint Identification

By David Dapeng Zhang, Adams Wai-Kin Kong, J. You, Michael Wong. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003

1,501 citations recorded by the source corpus.

Biometrics-based personal identification is regarded as an effective method for automatically recognizing, with a high confidence, a person's identity. This paper presents a new biometric approach to online personal identification using palmprint technology. In contrast to the existing methods, our online palmprint identification system employs low-resolution palmprint images to achieve effective personal identification. The system consists of two parts: a novel device for online palmprint image acquisition and an efficient algorithm for fast palmprint recognition. A robust image coordinate system is defined to facilitate image alignment for feature extraction. In addition, a 2D Gabor phase encoding scheme is proposed for palmprint feature extraction and representation. The experimental results demonstrate the feasibility of the proposed system.

Subfields: Computer Vision and Pattern Recognition, Genetics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/99d80b9a5df68d4bc9ebbae2510341ec1ede0357

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Citations in the corpus

Biometric Authentication: A Review (2009, background): “Palmprint scanning uses optical readers that are very similar to those used for fingerprint scanning, their size is, however, much bigger and this is a limiting factor for the use in workstations or mobile devices [40, 15].”
An Online System of Multispectral Palmprint Verification (2010, background): “The two basic considerations in the design of a multispectral palmprint system are the following: 1) the color-absorptive and color-reflective characteristics of human skin and 2) the light spectra to be used when acquiring images.”
Palmprint identification using feature-level fusion (2006, methodology): “In addition to capture device, our group has also implemented various line-, texture-, and component-based approaches [7,9,10].”
Detecting Fertility and Early Embryo Development of Chicken Eggs Using Near-Infrared Hyperspectral Imaging (2013, methodology): “…filter more robust against differences in brightness, both Gabor filters were tuned to zero DC (direct current, i.e., the baseline) with the application of the following formula (Zhang et al. 2003): eGg ¼ Gg Pn i¼ n Pn j¼ n G i; j½ 2nþ 1ð Þ2 ; ð3Þ where g00,1, (2n+1)2 is the size of the filter.”
A biometric identification system based on eigenpalm and eigenfinger features (2005, methodology): “Compared with the approaches based on features obtained fromthepalmdescribedin[ 9 ],[20],[21],[22],[30],oursystem achieves better results expressed in terms of the total error rate or equal error rate.”
Personal Authentication Using Finger Knuckle Surface (2009, background): “Therefore, further performance improvement can be achieved with the development of a more accurate knuckle segmentation, which can also be achieved from some tradeoff in user convenience by employing user pegs (as in [ 2 ]) during imaging.”
An automated palmprint recognition system (2005, background): “Some recent works demonstrated by [3,10,12] used CCD based digital camera to capture palmprint images.”
Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor (2010, methodology): “ture descriptors extracted by a set of Gabor wavelets (kernels) which model the receptive field profiles of cortical simple cells [5], [6], [15], [28], [29].”
Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition (2007, methodology): “discriminative information source, and has been successfully used in iris and palmprint identification [15], [16].”
Personal recognition using hand shape and texture (2006, methodology): “The palmprint matching using texture-based [7], line-based [10], and appearance-based methods [11] have been proposed literature.”
Online finger-knuckle-print verification for personal authentication (2010, background): “Fingerprint [1-3], palmprint [10-16], hand geometry [17-19], hand vein [20-21], and inner-knuckle-print [28-29] have been proposed and well investigated in the literature.”
Palmprint verification based on principal lines (2008, methodology): “[1].”
Competitive coding scheme for palmprint verification (2004, methodology): “Few papers have so far been published in this area [2-6].”
Introduction to Biometrics (2011, background): “The area of the palm is much larger than the area of a flnger and, as a result, palmprints are expected to be even more distinctive than the flngerprints [ 38 ].”
Ordinal palmprint represention for personal identification [represention read representation] (2005, methodology): “Thanks to the ordinal measures, these algorithms [9-11] all perform well in large scale testing, in terms of both accuracy and efficiency.”
A survey of palmprint recognition (2009, methodology): “Coding approaches [1,3,4,7,56] use one matching function to search entire databases.”