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Feature Extraction and Matching of Finger Vein Image

Author: SongXianHua
Tutor: ZhangShuGong
School: Jilin University
Course: Computational Mathematics
Keywords: Finger vein Feature Extraction Line tracking Invariant moments Template
CLC: R318
Type: Master's thesis
Year: 2007
Downloads: 211
Quote: 2
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Abstract


Paper studies finger vein recognition algorithm , including means intravenous feature extraction and matching two parts due to the occlusion of the finger bones and muscles , a finger vein image obtained under the infrared light contains a large number of irregular shadow , which gives high-quality extract brings much difficulty for the finger vein characterized Naoto Miura et al proposed the ray tracing method , this method starting from several random locations for repeated line tracking , then get the finger vein characterized on the finger vein image preprocessing the finger vein feature extraction method based on improved to obtain better results . finger vein matching method is the use of the template on the way , but the template than speed is difficult to meet real-time requirements . proposed comparing the same moment intravenous application and use of the combined method of moment invariants and template design than on the program , making finger vein recognition method to achieve a certain degree of accuracy and practical speed .

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CLC: > Medicine, health > Basic Medical > Medical science in general > Biomedical Engineering
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