Journal Article10.1007/S13042-019-01049-7
Orientation space code and multi-feature two-phase sparse representation for palmprint recognition
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TL;DR: A novel orientation-space code scheme to represent the orientation space feature of palmprint is proposed and a novel multi-feature two-phase sparse representation (MTPSR) scheme for feature matching is designed.
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Abstract: Orientation based coding method is one of the most important approaches in palmprint recognition, which achieves impressive performance by extracting one or more dominant orientation features, and calculating the distance between features of two palmprints. However, simply using the orientation features may be vulnerable to noisy and rotation. In this paper, we proposed a novel orientation-space code scheme to represent the orientation space feature of palmprint and designed a novel multi-feature two-phase sparse representation (MTPSR) scheme for feature matching. Extensive experiments on three benchmark palmprint databases are conducted to demonstrate the high effectiveness of the proposed method
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Citations
Palmprint Recognition: Extensive Exploration of Databases, Methodologies, Comparative Assessment, and Future Directions
Nadia Amrouni,Amir Benzaoui,Abdelhafid Zeroual +2 more
TL;DR: This paper provides a comprehensive survey of palmprint recognition methodologies, analyzing 20 datasets and classifying them into contact-based and contactless-based categories, while proposing a novel taxonomy for feature extraction approaches and highlighting open challenges and emerging trends.
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Multiview-Learning-Based Generic Palmprint Recognition: A Literature Review
Shuping Zhao,Lunke Fei,Jie Wen +2 more
TL;DR: A number of multiview-learning-based palmprint recognition methods (2004-2022) were listed, which discussed how to achieve better recognition performances by adopting different complementary types of features from multiple views as mentioned in this paper .
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Compact Double Attention Module Embedded CNN for Palmprint Recognition
Yongmin Zheng,Lunke Fei,Wei Jia,Jie Wen,Shaohua Teng,Imad Rida +5 more
- 06 Sep 2021
TL;DR: Wang et al. as discussed by the authors proposed a compact CNN with limited layers for palmprint recognition by embedding double attention mechanisms into the convolutional layers, where a channel attention module was designed to learn and select the discriminative channel maps by adaptively optimizing the attention weights among all channels.
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Multimodal biometrics system with face, ear, and foot fusion techniques
TL;DR: Multimodal biometrics system with face, ear, and foot fusion techniques enhances recognition accuracy by integrating multiple biometric sources and exploring fusion techniques at various levels.
References
Robust Face Recognition via Sparse Representation
TL;DR: This work considers the problem of automatically recognizing human faces from frontal views with varying expression and illumination, as well as occlusion and disguise, and proposes a general classification algorithm for (image-based) object recognition based on a sparse representation computed by C1-minimization.
Online palmprint identification
TL;DR: The system consists of a novel device for online palmprint image acquisition and an efficient algorithm for fast palmprint recognition, and a robust image coordinate system is defined to facilitate image alignment for feature extraction.
The Resonant Retina: Exploiting Vibration Noise to Optimally Detect Edges in an Image
TL;DR: Li et al. as discussed by the authors presented a new biometric approach to online personal identification using palmprint technology, which consists of two parts: a novel device for online palmprint image acquisition and an efficient algorithm for fast palmprint recognition.
909
Gabor filters as texture discriminator
TL;DR: The model was found to be in good correlation with known psychophysical characteristics as texton based texture segregation and micropattern density sensitivity, however, this simple model fails to predict human performance in discrimination tasks based on differences in the density of “terminators”.
803
Competitive coding scheme for palmprint verification
Adams Wai Kin Kong,David Zhang +1 more
- 23 Aug 2004
TL;DR: A new method for extracting features from palmprints using the competitive coding scheme and angular matching and the execution time for the whole process of verification, including preprocessing, feature extraction and final matching is 1s.
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