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Nonintrusive Finger-Vein Recognition System Using NIR Image Sensor and Accuracy Analyses According to Various Factors.

Pham TD, Park YH, Nguyen DT, Kwon SY, Park KR - Sensors (Basel) (2015)

Bottom Line: Therefore, fingerprint and iris recognitions are preferred alternatives.Therefore, we propose a nonintrusive finger-vein recognition system using a near infrared (NIR) image sensor and analyze its accuracies considering various factors.The experimental results obtained with three databases showed that our system can be operated in real applications with high accuracy; and the dissimilarity of the finger-veins of different people is larger than that of the finger types and hands.

View Article: PubMed Central - PubMed

Affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. phamdanhtuyen@gmail.com.

ABSTRACT
Biometrics is a technology that enables an individual person to be identified based on human physiological and behavioral characteristics. Among biometrics technologies, face recognition has been widely used because of its advantages in terms of convenience and non-contact operation. However, its performance is affected by factors such as variation in the illumination, facial expression, and head pose. Therefore, fingerprint and iris recognitions are preferred alternatives. However, the performance of the former can be adversely affected by the skin condition, including scarring and dryness. In addition, the latter has the disadvantages of high cost, large system size, and inconvenience to the user, who has to align their eyes with the iris camera. In an attempt to overcome these problems, finger-vein recognition has been vigorously researched, but an analysis of its accuracies according to various factors has not received much attention. Therefore, we propose a nonintrusive finger-vein recognition system using a near infrared (NIR) image sensor and analyze its accuracies considering various factors. The experimental results obtained with three databases showed that our system can be operated in real applications with high accuracy; and the dissimilarity of the finger-veins of different people is larger than that of the finger types and hands.

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Related in: MedlinePlus

Example of uniform and nonuniform patterns and their assigned decimal codes by uniform LBP, respectively: (a) uniform patterns; (b) nonuniform patterns; (c) two cases of decimal code of 1 by uniform LBP.
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sensors-15-16866-f022: Example of uniform and nonuniform patterns and their assigned decimal codes by uniform LBP, respectively: (a) uniform patterns; (b) nonuniform patterns; (c) two cases of decimal code of 1 by uniform LBP.

Mentions: The original LBP used in our method can be more sensitive to noise than the uniform LBP. Therefore, in our method, the sub-sampled image of 50 × 20 pixel is used for feature extraction by LBP as shown in Figure 4c,f,i, which can reduce the noise in the image for feature extraction. In addition, the two cases of LBP codes in Figure 22c are assigned as same decimal code of 1 by the uniform LBP although they are actually different LBP code (00000001 (left case) and 00010000 (right case)), which can reduce the dissimilarity between two different patterns of finger-vein image. Therefore, we use the original LBP method in our research.


Nonintrusive Finger-Vein Recognition System Using NIR Image Sensor and Accuracy Analyses According to Various Factors.

Pham TD, Park YH, Nguyen DT, Kwon SY, Park KR - Sensors (Basel) (2015)

Example of uniform and nonuniform patterns and their assigned decimal codes by uniform LBP, respectively: (a) uniform patterns; (b) nonuniform patterns; (c) two cases of decimal code of 1 by uniform LBP.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541912&req=5

sensors-15-16866-f022: Example of uniform and nonuniform patterns and their assigned decimal codes by uniform LBP, respectively: (a) uniform patterns; (b) nonuniform patterns; (c) two cases of decimal code of 1 by uniform LBP.
Mentions: The original LBP used in our method can be more sensitive to noise than the uniform LBP. Therefore, in our method, the sub-sampled image of 50 × 20 pixel is used for feature extraction by LBP as shown in Figure 4c,f,i, which can reduce the noise in the image for feature extraction. In addition, the two cases of LBP codes in Figure 22c are assigned as same decimal code of 1 by the uniform LBP although they are actually different LBP code (00000001 (left case) and 00010000 (right case)), which can reduce the dissimilarity between two different patterns of finger-vein image. Therefore, we use the original LBP method in our research.

Bottom Line: Therefore, fingerprint and iris recognitions are preferred alternatives.Therefore, we propose a nonintrusive finger-vein recognition system using a near infrared (NIR) image sensor and analyze its accuracies considering various factors.The experimental results obtained with three databases showed that our system can be operated in real applications with high accuracy; and the dissimilarity of the finger-veins of different people is larger than that of the finger types and hands.

View Article: PubMed Central - PubMed

Affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. phamdanhtuyen@gmail.com.

ABSTRACT
Biometrics is a technology that enables an individual person to be identified based on human physiological and behavioral characteristics. Among biometrics technologies, face recognition has been widely used because of its advantages in terms of convenience and non-contact operation. However, its performance is affected by factors such as variation in the illumination, facial expression, and head pose. Therefore, fingerprint and iris recognitions are preferred alternatives. However, the performance of the former can be adversely affected by the skin condition, including scarring and dryness. In addition, the latter has the disadvantages of high cost, large system size, and inconvenience to the user, who has to align their eyes with the iris camera. In an attempt to overcome these problems, finger-vein recognition has been vigorously researched, but an analysis of its accuracies according to various factors has not received much attention. Therefore, we propose a nonintrusive finger-vein recognition system using a near infrared (NIR) image sensor and analyze its accuracies considering various factors. The experimental results obtained with three databases showed that our system can be operated in real applications with high accuracy; and the dissimilarity of the finger-veins of different people is larger than that of the finger types and hands.

Show MeSH
Related in: MedlinePlus