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11 Result(s)

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  1. No Access

    Chapter and Conference Paper

    Fingerprint Indexing with Minutiae-Aided Fingerprint Multiscale Representation

    The huge fingerprint database limits the speed of large-scale fingerprint identification, which can be alleviated by fingerprint indexing. The previous fixed-length representation used for fingerprint indexing...

    Song Wu, Zheng Wang, Zexi Jia, Chuanwei Huang, Hongyan Fei… in Pattern Recognition (2023)

  2. No Access

    Chapter and Conference Paper

    PalmNet: A Robust Palmprint Minutiae Extraction Network

    Minutiae is the crucial foundation of palmprint recognition due to their discriminant and persistence. However, disturbed by complex latent noise, wide creases, and various frequency changes, it still challeng...

    Bing Liu, Zheng Wang, Jufu Feng in Pattern Recognition (2022)

  3. No Access

    Chapter and Conference Paper

    The Translation-Invariant Metric and Its Application

    The image Euclidean distance (IMED) is a class of image metric that takes the spatial relationship between pixels into consideration. Sun et al. [9] showed that IMED is equivalent to a translation-invariant tr...

    Bing Sun, Jufu Feng, Guo** Wang in Intelligence Science and Big Data Engineering (2013)

  4. No Access

    Chapter and Conference Paper

    Lighting Coefficients Transfer Based Face Illumination Normalization

    In this paper, a linear representation based face illumination normalization method is put forward. According to the Lambertian reflectance model, the specific illumination of a face image is determined linear...

    Yuelong Li, Li Meng, Jufu Feng in Pattern Recognition (2012)

  5. No Access

    Chapter and Conference Paper

    Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach

    We investigate a fundamental problem in computer vision: unsupervised image segmentation. During the last decade, the Normalized Cuts has become very popular for image segmentation. NCuts guarantees a globally...

    Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang in Computer Vision – ACCV 2010 (2011)

  6. No Access

    Chapter and Conference Paper

    Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified Segmentation Framework

    We propose a novel algorithm for unsupervised segmentation of images based on statistical hypothesis testing. We model the distribution of the image texture features as a mixture of Gaussian distributions so t...

    Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang in Computer Vision – ACCV 2010 (2011)

  7. No Access

    Chapter and Conference Paper

    Face Recognition via AAM and Multi-features Fusion on Riemannian Manifolds

    We develop a novel face recognition algorithm which is robust to random position perturbations of key points and does not require face alignment, e.g. resizing, rotating, crop**, etc. In our proposed method,...

    Hongwen Huo, Jufu Feng in Computer Vision – ACCV 2009 (2010)

  8. Chapter and Conference Paper

    A Robust Fingerprint Matching Approach: Growing and Fusing of Local Structures

    This paper proposed a robust fingerprint matching approach based on the growing and fusing of local structures. First, we obtain candidate of minutiae triangles, the smallest local structure in our approach; a...

    Wenquan Xu, **aoguang Chen, Jufu Feng in Advances in Biometrics (2007)

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  9. No Access

    Chapter and Conference Paper

    Rademacher Margin Complexity

    The Rademacher complexity [1] of a function class F is defined as

    Liwei Wang, Jufu Feng in Learning Theory (2007)

  10. No Access

    Chapter and Conference Paper

    Classification with the Hybrid of Manifold Learning and Gabor Wavelet

    While manifold learning algorithms can discover intrinsic low-dimensional manifold embedded in the high-dimensional Euclidean space, the discriminant ability of the low-dimensional subspaces obtained by the al...

    Jun** Zhang, Chao Shen, Jufu Feng in Advances in Neural Networks - ISNN 2006 (2006)

  11. No Access

    Chapter and Conference Paper

    Eliminating Variation of Face Images Using Face Symmetry

    In many face recognition tasks the pose and illumination conditions of the probe and gallery images are different. In most cases, gallery and probe images may only be two or three images, each captured from a ...

    Yan Zhang, Jufu Feng in Audio- and Video-Based Biometric Person Authentication (2003)