An embedded Gabor-based palm vein recognition system

Cancian, Pierandrea; Donato, Guido Walter Di; Rana, Vincenzo; Santambrogio, Marco D.

doi:10.1109/bhi.2017.7897291

Cited by 21 publications

(13 citation statements)

References 12 publications

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“…We have proposed a novel method that was validated on the largest database from all of the known cases, and we were able to maintain low EER while adding position variability. Based on the results from Table 3 , we can see that Cancian [ 27 ] and Khan [ 45 ] proposed methods that performed worse than our solution. Hao [ 46 ] and Yan [ 47 ] presented solutions that perform similar to our system but with much lower number of images of lesser position variability comparing to the proposed method.…”

Section: Discussionmentioning

confidence: 91%

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Contact-Free Multispectral Identity Verification System Using Palm Veins and Deep Neural Network

Stanuch

Wodziński

Skalski

2020

Sensors

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Devices and systems secured by biometric factors became a part of our lives because they are convenient, easy to use, reliable, and secure. They use information about unique features of our bodies in order to authenticate a user. It is possible to enhance the security of these devices by adding supplementary modality while keeping the user experience at the same level. Palm vein systems are based on infrared wavelengths used for capturing images of users’ veins. It is both convenient for the user, and it is one of the most secure biometric solutions. The proposed system uses IR and UV wavelengths; the images are then processed by a deep convolutional neural network for extraction of biometric features and authentication of users. We tested the system in a verification scenario that consisted of checking if the images collected from the user contained the same biometric features as those in the database. The True Positive Rate (TPR) achieved by the system when the information from the two modalities were combined was 99.5% by the threshold of acceptance set to the Equal Error Rate (EER).

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Section: Discussionmentioning

confidence: 91%

“…The system described in [ 27 ] is single-modal and checks only palm vein features. The system is contactless and uses multiple Gabor filters for biometric features extraction.…”

Section: Introductionmentioning

confidence: 99%

Contact-Free Multispectral Identity Verification System Using Palm Veins and Deep Neural Network

Stanuch

Wodziński

Skalski

2020

Sensors

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“…These techniques include multiresolution discrete cosine transform (MRDCT), frequency partition discrete cosine transform (FPDCT), wavelet, and energy of Laplacian (EOL). Finally, the MSR-PVR was compared with a method proposed by Cancian et al [58], which extracts veins of a palm in real-time using an embedded Gabor-based PVR system.…”

Section: Methodsmentioning

confidence: 99%

Cost‐effective and accurate palm vein recognition system based on multiframe super‐resolution algorithms

et al. 2020

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Palm vein recognition (PVR) refers to the contactless biometric identification method that uses palm vein patterns to confirm the identity of a person. Compared with other methods, PVR has received a wide attention because it provides more secure results. The veins, being located inside the human body, make PVR robust against tempering and changes in morphology of body features. Most PVR systems integrate four stages: image acquisition, pre-processing, feature extraction, and decision. The first two stages determine accuracy of the final identification results. Focusing on the pre-processing component, we discovered that the available approaches fail to generate more informative vein patterns by simultaneously suppressing noise and blur, and also by recovering semantically useful features (edges, contours, and lines) from the acquired images. This weakness calls for sophisticated acquisition devices that make PVR systems costly. In this work, we have proposed multiframe super-resolution (MSR) as a pre-processing stage to improve performance of the traditional PVR systems. MSR exploits information from multiple images of the same scene to reconstruct a high-resolution image. This technique signals the possibility of using inexpensive low-resolution imaging devices demanded by the traditional PVR systems. Experiments show that our method outperforms most classical methods.

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“…Cancian et.al [6] have presented an Embedded Gabor-based Palm Vein Recognition System which described the development of an embedded standalone palm vein authentication system. Image is captured for contact-less acquisition on the key points is isolated by Hand tracking algorithm.…”

Section: Related Workmentioning

confidence: 99%

Palm Vein Detection Based on Local Gabor Vein Code Pattern and Hog

Subathra*,

Merriliance

2020

IJITEE

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Nowadays, Palm vein biometric is one of the emerging techniques to build up a well-organized recognition system. This paper focuses on quality-based palm vein detection. To recognize hand palm vein images, Local Gabor Vein Code Pattern (LGVCP) is proposed. It comprises of three modules, namely Preprocessing, LGVCP and Palm Vein matching. Preprocessing is performed using Otsu thresholding method and Contrast Limited Adaptive Histogram Equalization (CLAHE) techniques. Palm vein features are extracted by applying LGVCP and Histogram of Oriented Gradients (HOG). Chi-square distance and Euclidian distance values are applied for palm vein matching. Experiments are performed on CASIA Palm vein Image database. The performance of the proposed method is evaluated by metrics, namely accuracy, specificity, sensitivity, error rate, recall and precision. The proposed method provides an accuracy of 99.001% compared to the existing ones.

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An embedded Gabor-based palm vein recognition system

Cited by 21 publications

References 12 publications

Contact-Free Multispectral Identity Verification System Using Palm Veins and Deep Neural Network

Contact-Free Multispectral Identity Verification System Using Palm Veins and Deep Neural Network

Cost‐effective and accurate palm vein recognition system based on multiframe super‐resolution algorithms

Palm Vein Detection Based on Local Gabor Vein Code Pattern and Hog

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