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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

Linear stretching and sub-sampled results of finger-vein images from the three databases: Detected finger-region image from the (a) good-quality; (d) mid-quality; and (g) open databases, with their corresponding 150 × 60 pixel stretched images shown in (b,e,h), respectively, and their corresponding 50 × 20 pixel sub-sampled images shown in (c,f,i), respectively.
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sensors-15-16866-f004: Linear stretching and sub-sampled results of finger-vein images from the three databases: Detected finger-region image from the (a) good-quality; (d) mid-quality; and (g) open databases, with their corresponding 150 × 60 pixel stretched images shown in (b,e,h), respectively, and their corresponding 50 × 20 pixel sub-sampled images shown in (c,f,i), respectively.

Mentions: Based on the detected finger boundaries, the finger-vein image is normalized to the size of 150 × 60 pixels by using a linear stretching method, and it is then sub-sampled to produce a 50 × 20 pixel image to enhance the processing speed [7]. This is done by averaging the gray values in each 3 × 3 pixel block of the 150 × 60 pixel image. Figure 4 shows examples of the normalization results of the images in Figure 2.


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)

Linear stretching and sub-sampled results of finger-vein images from the three databases: Detected finger-region image from the (a) good-quality; (d) mid-quality; and (g) open databases, with their corresponding 150 × 60 pixel stretched images shown in (b,e,h), respectively, and their corresponding 50 × 20 pixel sub-sampled images shown in (c,f,i), respectively.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-16866-f004: Linear stretching and sub-sampled results of finger-vein images from the three databases: Detected finger-region image from the (a) good-quality; (d) mid-quality; and (g) open databases, with their corresponding 150 × 60 pixel stretched images shown in (b,e,h), respectively, and their corresponding 50 × 20 pixel sub-sampled images shown in (c,f,i), respectively.
Mentions: Based on the detected finger boundaries, the finger-vein image is normalized to the size of 150 × 60 pixels by using a linear stretching method, and it is then sub-sampled to produce a 50 × 20 pixel image to enhance the processing speed [7]. This is done by averaging the gray values in each 3 × 3 pixel block of the 150 × 60 pixel image. Figure 4 shows examples of the normalization results of the images in Figure 2.

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