Competitive coding scheme for palmprint verification

Kong, Adams Wai-Kin; Zhang, D.

doi:10.1109/icpr.2004.1334184

Cited by 481 publications

(371 citation statements)

References 9 publications

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“…According to the results of these studies, line-based approaches are deemed to produce the most promising results. In particular, some studies [5,7,8] based on line orientation information are considered the state-of-the-art methods. Kong and Zhang [5] used six 2D Gabor filters with different directions, and extracted the dominant orientation information using the winner-takes-all rule.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, some studies [5,7,8] based on line orientation information are considered the state-of-the-art methods. Kong and Zhang [5] used six 2D Gabor filters with different directions, and extracted the dominant orientation information using the winner-takes-all rule. Wu et al [7] devised four directional templates to define the orientation of each pixel.…”

Section: Introductionmentioning

confidence: 99%

“…This classification poses a challenge. Kong and Zhang [5] assumed that each point on a palmprint image is located on a palm line. Under this assumption, the orientation of each point is extracted.…”

Section: Introductionmentioning

confidence: 99%

“…Line-based approaches concentrate on extracting palm lines such as principal lines and wrinkles [4][5][6][7][8]. The extracted lines are usually encoded based on their orientation and magnitude.…”

Section: Introductionmentioning

confidence: 99%

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Palmprint Verification Using Multi-scale Gradient Orientation Maps

Kim

2011

Journal of the Optical Society of Korea

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This paper proposes a new approach to palmprint verification based on the gradient, in which a palm image is considered to be a three-dimensional terrain. Principal lines and wrinkles make deep and shallow valleys on a palm landscape. Then the steepest slope direction in each local area is first computed using the Kirsch operator, after which an orientation map is created that represents the dominant slope direction of each pixel. In this study, three orientation maps were made with different scales to represent local and global gradient information. Next, feature matching based on pixel-unit comparison was performed. The experimental results showed that the proposed method is superior to several state-of-the-art methods. In addition, the verification could be greatly improved by fusing orientation maps with different scales.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Palmprint Verification Using Multi-scale Gradient Orientation Maps

Kim

2011

Journal of the Optical Society of Korea

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“…Representative work of this category [2], [5], [3] and [6], has been reporting better and better performance. These approaches share a common characteristics: a simple feature is extracted at each local region and a mesh containing one feature at each grid is utilized to provide a much more distinctive representation.…”

Section: Introductionmentioning

confidence: 99%

Identity Verification by Using Handprint

Ying

Tan

Sun

et al.

Advances in Biometrics

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Abstract. In recent years, palmprint based personal identification has been extensively explored by researchers. The success of this technology has demonstrated that the inner part of palm skin is capable of distinguishing one person from another in case that proper representation is utilized. However, earlier work mainly focused on scenarios where the position and pose of hands are constrained by pegs or plates. In contrast, our purpose is to design and implement a system which is capable of recognizing an individual once he/she naturally stretches his/her hand in front of the camera. Since human hand is an articulated object, it is important to filter out geometry variations. This paper presents and compares two hand texture based personal identification methods, which are called hand-print verification in this paper to denote the idea of utilizing whole hand skin image for recognition. In one of the method, hand articulation is eliminated in a well-defined way and then the hand is treated as a whole for feature extraction, while in the other method, features are extracted in different parts of the hand, and final decision is made in a matching score level fusion manner. Experimental results for both methods are presented and compared.

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Multispectral hand features for secure biometric authentication systems

Bartuzi

Trokielewicz

2021

Concurrency and Computation

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Summary With rapid growth of mobile‐based computing, reliable security and user authentication methods are necessary. This article proposes a proof‐of‐concept biometric authentication method utilizing hand images collected in different light spectra. An analysis of similarity between pattern of blood vessels extracted from near‐infrared images and thermal images and assessment of the correlation between individual biometric features contained in each image type is also performed. Results indicate a large potential of using thermal images in biometrics more extensively than now. Also proposed and evaluated are biometric recognition methods based on images of the hand acquired in visible light, near infrared, and using thermal infrared sensors. Two approaches were used to assess information content in images of each type: one based on texture descriptor and one employing convolutional neural networks. In an evaluation gathering data from 104 subjects, the former yielded the lowest equal error rate (EER) of 7.44%, whereas the latter approach gave EER=0.03% for thermal images. Finally, fusion of different‐spectra modalities increases accuracy and further reduces EER to 0.01%. This is, to the authors' best knowledge, the first study exploring the concept of fusing different spectral representations of the human hand for the purpose of biometric recognition.

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Competitive coding scheme for palmprint verification

Cited by 481 publications

References 9 publications

Palmprint Verification Using Multi-scale Gradient Orientation Maps

Palmprint Verification Using Multi-scale Gradient Orientation Maps

Identity Verification by Using Handprint

Multispectral hand features for secure biometric authentication systems

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