Personal authentication using palm-print features

By Chin-Chuan Han, Hsu Cheng, Chih-Lung Lin, Kuo-Chin Fan. Pattern Recognition, 2003

538 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/d3dcbef6e1956893d35feabdcc6718509d824f4d

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Citations in the corpus

Personal Verification Using Palmprint and Hand Geometry Biometric (2003, methodology): “The problem of personal verification using palmprint features has drawn considerable attention and researchers have proposed various methods [3]-[15].”
Palmprint verification based on principal lines (2008, methodology): “Han et al. proposed using Sobel and morphological operations to extract the linelike features from palmprint images obtained using a scanner [ 13 ].”
Biometric verification using thermal images of palm-dorsa vein patterns (2004, methodology): “Second, we can avoid the shortcoming of relying on neural networks to integrate MRA that needs abundant positive and negative training samples [6], [25], [31], [32].”
A biometric identification system based on eigenpalm and eigenfinger features (2005, background): “Palm printbased biometric systems normally use the following characteristics: prominent palm-line features, the end points of these lines, texture, global texture energy, or some combination of these characteristics [7], [8], [9], [20], [21], [ 22 ].”
A survey of palmprint recognition (2009, methodology): “However, the third step has several different implementations including tangent-based [7], bisector-based [16, 48] and finger-based [9, 10] to detect the key points between fingers.”
Competitive coding scheme for palmprint verification (2004, background): “Few papers have so far been published in this area [ 2-6 ].”
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.”
Ordinal palmprint represention for personal identification [represention read representation] (2005, methodology): “Various palmprint representations have been proposed for recognition, such as Line features [2], Feature points [3], Fourier spectrum [4], Eigenpalms features [5], Sobel’s and morphological features [ 6 ], Texture energy [7], Wavelet signatures [8], Gabor phase [9], Fusion code [10], Competitive cod”
Online Palmprint Identification (2003, background): “This result is comparable with previous palmprint approaches and other hand-based biometric technologies including hand geometry and fingerprint verification [5], [6], [7], [11], [13], [14], [18], [19].”