Palm vein recognition based-on minutiae feature and feature matching

Wirayuda, Tjokorda Agung Budi

doi:10.1109/iceei.2015.7352525

Cited by 12 publications

(4 citation statements)

References 4 publications

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“…Paper presents study of two approaches extensively used in palmprint/vein recognition. The study presented in section 2 reveals that the accuracy of recognition systems based on Minutiae points is 91.00% [7]. Also it is found that vary less number of feature points i.e.13 are extracted by this method which reduced flexibility of recognition process.…”

Section: Discussionmentioning

confidence: 95%

“…As compared to other point-to-point-based approaches this proposed system has better performance. Tjokorda Agung Budi Wirayuda [7] proposed system for recognizing the palm veins using Minutiae feature. ROI is extracted using CHDV algorithm.…”

Section: B Study Of Earlier Research Based On Minutiae-based Featuresmentioning

confidence: 99%

“…In a DCLBP feature extraction process, the way in which get differences from horizontal, vertical and diagonal neighbors as shown in figure 6 (b) and these calculated values are multiply with 2 1 , 2 3 , 2 5 and 2 5 serially to compute a new value. The resultant value of DCLBP is computed using equation(7).…”

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confidence: 99%

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Recent Advances in Palm Vein Recognition using Minutiae-Based and Texture-based Feature Extraction Methods

Bujare¹

2019

IJRASET

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Biometric system is highly used for security purpose in many recent applications. Texture based, Line based, Appearance based, Code based methods are used for feature extraction. Mainly, two methods are used for palm vein feature extraction which are minutiae-based and texture descriptor-based. Many researchers are attracted by Texture based approaches during the last years compared to minutiae based approach which segment veins first and then extract the information of singular point. This facilitated use of texture features in palm vein detection. The study presented in this paper is an extensive survey of the Minutiae-based and Texture-based feature extraction for palm vein recognition.

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Section: Discussionmentioning

confidence: 95%

Section: B Study Of Earlier Research Based On Minutiae-based Featuresmentioning

confidence: 99%

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Recent Advances in Palm Vein Recognition using Minutiae-Based and Texture-based Feature Extraction Methods

Bujare¹

2019

IJRASET

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“…Geometry-based approaches [3,[41][42][43] typically use vascular structure information, like the point feature or line feature to descript the palm vein. The key of them is the usage of the edge detection algorithm to extract the orientation and location information of ridges, lines or feature points.…”

Section: Feature Extraction and Matchingmentioning

confidence: 99%

Review of palm vein recognition

Elliott

Lin

et al. 2019

IET biom.

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As a new research focus in biometrics, palm vein recognition has attracted people's attention because of high security, liveness-detection, user acceptability and convenience. Palm vein recognition exhibits high security, as it uses the network of blood vessels underneath palm skin for recognition. As palm vein is interior biological information of the body, vein patterns are much harder for intruders to copy compared to other biometric features. Palm vein is mostly invisible to the human eyes; they are commonly captured under near-infrared light. Under its natural state, the veins of the palm are concealed naturally and, for most of time people's hands are in the gesture of half fist. This study presents a comprehensive overview of recent research progress of palm vein recognition, from the basic background knowledge to data acquisition, public database, preprocessing, feature extraction and matching. In addition, the study focuses on palm vein-related fusion. Ultimately, the authors discuss the challenges and future perspectives in palm vein recognition for further works.

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A Performance Evaluation of Local Descriptors, Direction Coding and Correlation Filters for Palm Vein Recognition

Jia

et al. 2016

Biometric Recognition

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Palm vein recognition based-on minutiae feature and feature matching

Cited by 12 publications

References 4 publications

Recent Advances in Palm Vein Recognition using Minutiae-Based and Texture-based Feature Extraction Methods

Recent Advances in Palm Vein Recognition using Minutiae-Based and Texture-based Feature Extraction Methods

Review of palm vein recognition

A Performance Evaluation of Local Descriptors, Direction Coding and Correlation Filters for Palm Vein Recognition

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