546 Result(s)
within
Conference Paper
**hu Li
Biometrics
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Chapter and Conference Paper
A Novel Multi-layered Minutiae Extractor Based on OCT Fingerprints
Fingerprints of Optical Coherence Tomography (OCT) imaging provide 3D volume data which have the nature property of multi-layered tissue structure. This paper, for the first time, attempts to extract minutiae ...
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Chapter and Conference Paper
Selective Detail Enhancement Algorithm for Finger Vein Images
In near-infrared finger vein images, the contrast between vein texture and skin is low, and traditional algorithms based on enhancement filters and grayscale stretching are difficult to effectively enhance the...
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Chapter and Conference Paper
Gait Recognition by Sensing Insole Using a Hybrid CNN-Attention-LSTM Network
Gait recognition has become a necessary integral part of emerging smart wearables. However, considering the limitations of wearable sensing, improving the recognition performance remains an open question. In t...
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Chapter and Conference Paper
Estimation of Gaze-Following Based on Transformer and the Guiding Offset
Gaze-following is a challenging task in computer vision. With the help of gaze-following, we can understand what other people are looking and predict what they might do. We propose a two-stage solution for the...
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Chapter and Conference Paper
GI Tract Lesion Classification Using Multi-task Capsule Networks with Hierarchical Convolutional Layers
Lesions in the gastrointestinal (GI) tract of human beings are usually diagnosed with an endoscopic imaging system. Traditionally, a gastroenterologist examines the GI tract manually to diagnose the diseases. ...
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Chapter and Conference Paper
Research on Gesture Recognition of Surface EMG Based on Machine Learning
Gesture recognition pertains to recognizing meaningful expressions of motion by human, it is utmost important in medical rehabilitation, robot control as well as prosthesis design. Compared with gesture recogn...
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Chapter and Conference Paper
Human Action Recognition Algorithm of Non-local Two-Stream Convolution Network Based on Image Depth Flow
Action recognition has wide prospects in the field of video surveillance. At present, the popular Temporal Segment Networks (TSN) has been applied to action recognition and has achieved good results. However, ...
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Chapter and Conference Paper
Low-Resource Speech Keyword Search Based on Residual Neural Network
Low-resource speech keyword search is usually based on DTW template matching. However, this method has low precision and is sensitive to speaker or recording environment changes. This paper proposes a low-reso...
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Chapter and Conference Paper
A Simple Convolutional Neural Network for Small Sample Multi-lingual Offline Handwritten Signature Recognition
Based on convolutional neural network, a simpler network for offline handwritten signature recognition is proposed in this paper. A total of 7,200 handwritten signature images in Chinese, Uyghur, and Kazakh la...
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Chapter and Conference Paper
Low-Quality 3D Face Recognition with Soft Thresholding
3D face recognition has developed rapidly in the past decade for its robustness to large variations of illumination and pose. Plenty of researches in the past have been done based on high-quality 3D faces, whi...
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Chapter and Conference Paper
Channel Enhanced Temporal-Shift Module for Efficient Lipreading
Lipreading, also known as visual speech recognition (VSR), refers to recognizing people’s speech content only through the sequence of lip movements. Benefit from the development of deep learning, research on l...
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Chapter and Conference Paper
Auricular Point Localization Oriented Region Segmentation for Human Ear
Auricular acupressure therapy is a simple and effective means of health care and has gradually gained popularity. As an important prerequisite for auricular acupressure therapy, auricular point localization is...
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Chapter and Conference Paper
3D Context-Aware PIFu for Clothed Human Reconstruction
In this paper, we propose 3D Context-Aware PIFu to recover 3D clothed human from a single image. Existing implicit function-based models suffer from the unsatisfied robustness to poor pose variations, since th...
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Chapter and Conference Paper
Multi-lingual Hybrid Handwritten Signature Recognition Based on Deep Residual Attention Network
The writing styles of Uyghur, Kazak, Kirgiz and other ethnic minorities in **njiang are very similar, so it is extremely difficult to extract the effective features of handwritten signatures of different langu...
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Chapter and Conference Paper
Palatal Rugae Recognition via 2D Fractional Fourier Transform
Palatal rugae is a new type of biological feature that is suitable for forensic identification in special environments. This work proposes to perform palatal rugae recognition via 2D fractional fourier transfo...
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Chapter and Conference Paper
Dorsal Hand Vein Recognition Based on Transfer Learning with Fusion of LBP Feature
Traditionally, training an end-to-end convolutional neural network (CNN) requires sufficient samples and time cost in dorsal hand vein recognition.
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Chapter and Conference Paper
A Novel Local Binary Operator Based on Discretization for Finger Vein Recognition
It is well known that since the binary sequence and weights of the local binary operator are obtained based on local features, the local binary operator has a good description of local texture features
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Chapter and Conference Paper
Different Dimension Issues in Deep Feature Space for Finger-Vein Recognition
Hand-crafted approaches were the dominating solutions and recently, more convolutional neural network (CNN)-based methods have been proposed for finger-vein recognition. However, the previous deep learning met...
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Chapter and Conference Paper
Iris Normalization Beyond Appr-Circular Parameter Estimation
The requirement to recognize the iris image of low-quality is rapidly increasing with the practical application of iris recognition, especially the urgent need for high-throughput or applications in covert sit...
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Chapter and Conference Paper
Alzheimer's Disease Prediction via the Association of Single Nucleotide Polymorphism with Brain Regions
Imaging genomics is an effective tool in the detection and causative factor analysis of Alzheimer's disease (AD). Based on single nucleotide polymorphism (SNP) and structural magnetic resonance imaging (MRI) d...
