A survey on dorsal hand vein biometrics

Jia, Wei; Xia, Wei; Zhang, Bob; Kang, Wenxiong; Huang, Di; Guo, Guodong

doi:10.1016/j.patcog.2021.108122

Cited by 29 publications

(13 citation statements)

References 83 publications

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“…where Th is the threshold that depends on mean value of V, the binarized direction/sequence 𝐵𝑃𝑉 was rearranged into a 2D binary feature image, 𝑇, with the size of 𝐼 × 𝐽. -Watermark palm vein image generation: the achieved XOR process is used in scrambling the watermark image, 𝑊𝑃𝑉𝐶 [24] and the image's feature 𝑇 to produce the zero-watermark as given in (2).…”

Section: Proposed Secure An Imd With Palm Vein Methodsmentioning

confidence: 99%

“…Although the admirable attempts created by the academic communities, there were still problems that need to be solved, including insufficient fundamental capabilities, higher communications and computational overheads, and formal lag in security verifications [23]. Dorsal hand vein (DHV) biometrics, one of the newest biometrics technologies, has drawn a lot of attention lately [24]. This study develops a hybrid verification method that was depended on biometrics and encryptions technologies.…”

Section: Introductionmentioning

confidence: 99%

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Efficient palm vein authentication encryption technique in wireless implantable medical devices

Almukhlifi

Almutairi

2023

IJEECS

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Implantable medical devices (IMD) are commonly utilized to treat chronic illnesses. Many IMD communicate in wireless mode using an external programmer, which raises security concerns. Security of IMD is a critical issue which assaults direct harm to patients. Many researches are carried out on IMD security and challenges when the patient is not in a critical situation. Still, it would be a major issue while the patient is unconscious. In this research, a novel scheme for emergency secure access control of IMD was proposed to improve the security of biometric-based IMD schemes. The proposed authentication scheme uses a combination of palm vein and zero-watermark to generate encrypted credential data for IMDs. Using quantitative assessment for evaluating images, such as the peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and the mean squared errors (MSE), the suggested framework is shown to be superior to existing methods. Two other study goals are improved efficiency and image quality at a lower computational cost.

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Section: Proposed Secure An Imd With Palm Vein Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficient palm vein authentication encryption technique in wireless implantable medical devices

Almukhlifi

Almutairi

2023

IJEECS

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“…Biometric features related to behaviour include handwritten signature, manner of walking or characteristic eye movement. Non-behavioural features include: fingerprints, voice timbre, geometry of the hand, facial features, and ear, colour of the iris of the eye, vascular system of fingers and dorsal hand veins, and several others [2,3].…”

Section: Introductionmentioning

confidence: 99%

Recognition of the finger vascular system using multi‐wavelength imaging

et al. 2022

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There has recently been intensive development of methods for identification and personal verification using the human finger vascular system (FVS). The primary focus of these efforts has been the increasingly sophisticated methods of image processing, and frequently employing machine learning. In this article, we present a new concept of imaging in which the finger vasculature is illuminated using different wavelengths of light, generating multiple FVS images. We hypothesised that the analysis of these image sets, instead of individual images, could increase the effectiveness of identification. Analyses of data from over 100 volunteers, using five different deterministic methods for feature extraction, consistently demonstrated improved identification efficiency with the addition of data obtained from another wavelength. The best results were seen for combinations of diodes between 800 and 900 nm. Finger vascular system observations outside this range were of marginal utility. The knowledge gained from this experiment can be utilised by designers of biometric recognition devices leveraging FVS technology. Our results confirm that developments in this field are not restricted to image processing algorithms, and that hardware innovations remain relevant.

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“…Vein bio-metric photos are frequently taken from the dorsal zone of the finger, palm, or hand. The following benefits of palm vein bio-metrics are offered above typical biometric traits, according to [12]. Firstly, a human's palm vein pattern is incredibly intricate.…”

Section: Introductionmentioning

confidence: 99%

A Novel Feature Selection Method Based on Bio-inspired Artificial Intelligence for The Feature Selection of Bio-metric Data

Ghoualmi

Benkechakche

Draa

2022

Preprint

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Recently, both industry and academics are paying increasingly more attention to bio-metric authentication using palm vein patterns due to the benefits it provides over traditional methods, like those that rely on a fingerprint, iris, or face. However, feature extraction of the palm vein feature, which seeks to collect the most distinctive features that uniquely identify individuals might have redundant and useless features, which would reduce the performance of the bio-metric system and cause a dimension issue. This paper presents an improved feature selection technique based on a bio-inspired artificial intelligence algorithm called Discrete Artificial Bee Colony (DABC) for palm vein bio-metric authen-tication. The best set of features from those offered by Gabor feature extractor are selected using the DABC algorithm. In attempt to grant additional diversity and effectively explore the solution space, a variant of Opposition Based Learning (OBL) notion is implemented. The proposed approach, termed Modified Opposition based DABC (MODABC), has been evaluated using the CASIA palm vein database in comparison to a number of feature selection algorithms based on bio-inspired artificial intelligence. The experimental findings demonstrate that the presented method perform better that the literature in a number of areas, including accuracy, FRR, FAR, feature vector size, and fitness values. The method being proposed enables providing a suitable balance between the feature vector size and the authentication rate.

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A survey on dorsal hand vein biometrics

Cited by 29 publications

References 83 publications

Efficient palm vein authentication encryption technique in wireless implantable medical devices

Efficient palm vein authentication encryption technique in wireless implantable medical devices

Recognition of the finger vascular system using multi‐wavelength imaging

A Novel Feature Selection Method Based on Bio-inspired Artificial Intelligence for The Feature Selection of Bio-metric Data

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