A biometric identification system based on eigenpalm and eigenfinger features

By Slobodan Ribaric, Ivan Fratric. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005

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Palmprint verification based on principal lines (2008, background): “…for palmprint verification/identification, which can be mainly divided into five categories: (1) texture based approaches [1] [4]; (2) appearance based approaches [5] [6] [7] [8]; (3) multiple features based approaches [9]; (4) orientation based approaches [10] [11]; and * Corresponding author.”
Comparisons of wavelets, contourlets and curvelets in seismic denoising (2009, neutral): “K–L transform (Hunt and Kubler, 1984) is an optimal orthogonal transform based on statistic characteristics of signals, which is mainly applied to clustering analysis, pattern recognition, feature optimization and signal denoising (Fernando and Nicholson, 1980; Jones, 1985; Ribaric and Fratric, 2005”
A survey of palmprint recognition (2009, background): “Many biometric traits including fingerprint [82], palm vein [84], finger surface [19, 39, 80], face [20, 62, 66, 81], iris [88], and hand shape [17, 39, 50, 61, 76] have been combined with palmprints at score level or at representation level.”
Palmprint verification based on robust line orientation code (2007, methodology): “Finally, a matching algorithm based on pixel-to-area comparison has been designed, which has better fault tolerant ability.”