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Bimodal Biometric Verification Using the Fusion of Palmprint and Infrared Palm-Dorsum Vein Images

In this paper, we present a reliable and robust biometric verification method based on bimodal physiological characteristics of palms, including the palmprint and palm-dorsum vein patterns. The proposed method consists of five steps: (1) automatically aligning and cropping the same region of interes...

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Autores principales: Lin, Chih-Lung, Wang, Shih-Hung, Cheng, Hsu-Yung, Fan, Kuo-Chin, Hsu, Wei-Lieh, Lai, Chin-Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721776/
https://www.ncbi.nlm.nih.gov/pubmed/26703596
http://dx.doi.org/10.3390/s151229856
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author Lin, Chih-Lung
Wang, Shih-Hung
Cheng, Hsu-Yung
Fan, Kuo-Chin
Hsu, Wei-Lieh
Lai, Chin-Rong
author_facet Lin, Chih-Lung
Wang, Shih-Hung
Cheng, Hsu-Yung
Fan, Kuo-Chin
Hsu, Wei-Lieh
Lai, Chin-Rong
author_sort Lin, Chih-Lung
collection PubMed
description In this paper, we present a reliable and robust biometric verification method based on bimodal physiological characteristics of palms, including the palmprint and palm-dorsum vein patterns. The proposed method consists of five steps: (1) automatically aligning and cropping the same region of interest from different palm or palm-dorsum images; (2) applying the digital wavelet transform and inverse wavelet transform to fuse palmprint and vein pattern images; (3) extracting the line-like features (LLFs) from the fused image; (4) obtaining multiresolution representations of the LLFs by using a multiresolution filter; and (5) using a support vector machine to verify the multiresolution representations of the LLFs. The proposed method possesses four advantages: first, both modal images are captured in peg-free scenarios to improve the user-friendliness of the verification device. Second, palmprint and vein pattern images are captured using a low-resolution digital scanner and infrared (IR) camera. The use of low-resolution images results in a smaller database. In addition, the vein pattern images are captured through the invisible IR spectrum, which improves antispoofing. Third, since the physiological characteristics of palmprint and vein pattern images are different, a hybrid fusing rule can be introduced to fuse the decomposition coefficients of different bands. The proposed method fuses decomposition coefficients at different decomposed levels, with different image sizes, captured from different sensor devices. Finally, the proposed method operates automatically and hence no parameters need to be set manually. Three thousand palmprint images and 3000 vein pattern images were collected from 100 volunteers to verify the validity of the proposed method. The results show a false rejection rate of 1.20% and a false acceptance rate of 1.56%. It demonstrates the validity and excellent performance of our proposed method comparing to other methods.
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spelling pubmed-47217762016-01-26 Bimodal Biometric Verification Using the Fusion of Palmprint and Infrared Palm-Dorsum Vein Images Lin, Chih-Lung Wang, Shih-Hung Cheng, Hsu-Yung Fan, Kuo-Chin Hsu, Wei-Lieh Lai, Chin-Rong Sensors (Basel) Article In this paper, we present a reliable and robust biometric verification method based on bimodal physiological characteristics of palms, including the palmprint and palm-dorsum vein patterns. The proposed method consists of five steps: (1) automatically aligning and cropping the same region of interest from different palm or palm-dorsum images; (2) applying the digital wavelet transform and inverse wavelet transform to fuse palmprint and vein pattern images; (3) extracting the line-like features (LLFs) from the fused image; (4) obtaining multiresolution representations of the LLFs by using a multiresolution filter; and (5) using a support vector machine to verify the multiresolution representations of the LLFs. The proposed method possesses four advantages: first, both modal images are captured in peg-free scenarios to improve the user-friendliness of the verification device. Second, palmprint and vein pattern images are captured using a low-resolution digital scanner and infrared (IR) camera. The use of low-resolution images results in a smaller database. In addition, the vein pattern images are captured through the invisible IR spectrum, which improves antispoofing. Third, since the physiological characteristics of palmprint and vein pattern images are different, a hybrid fusing rule can be introduced to fuse the decomposition coefficients of different bands. The proposed method fuses decomposition coefficients at different decomposed levels, with different image sizes, captured from different sensor devices. Finally, the proposed method operates automatically and hence no parameters need to be set manually. Three thousand palmprint images and 3000 vein pattern images were collected from 100 volunteers to verify the validity of the proposed method. The results show a false rejection rate of 1.20% and a false acceptance rate of 1.56%. It demonstrates the validity and excellent performance of our proposed method comparing to other methods. MDPI 2015-12-12 /pmc/articles/PMC4721776/ /pubmed/26703596 http://dx.doi.org/10.3390/s151229856 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lin, Chih-Lung
Wang, Shih-Hung
Cheng, Hsu-Yung
Fan, Kuo-Chin
Hsu, Wei-Lieh
Lai, Chin-Rong
Bimodal Biometric Verification Using the Fusion of Palmprint and Infrared Palm-Dorsum Vein Images
title Bimodal Biometric Verification Using the Fusion of Palmprint and Infrared Palm-Dorsum Vein Images
title_full Bimodal Biometric Verification Using the Fusion of Palmprint and Infrared Palm-Dorsum Vein Images
title_fullStr Bimodal Biometric Verification Using the Fusion of Palmprint and Infrared Palm-Dorsum Vein Images
title_full_unstemmed Bimodal Biometric Verification Using the Fusion of Palmprint and Infrared Palm-Dorsum Vein Images
title_short Bimodal Biometric Verification Using the Fusion of Palmprint and Infrared Palm-Dorsum Vein Images
title_sort bimodal biometric verification using the fusion of palmprint and infrared palm-dorsum vein images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721776/
https://www.ncbi.nlm.nih.gov/pubmed/26703596
http://dx.doi.org/10.3390/s151229856
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