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Eigenfeature Regularization and Extraction in Face Recognition
TLDR
Experiments comparing the proposed approach with some other popular subspace methods on the FERET, ORL, AR, and GT databases show that the method consistently outperforms others.
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Fingerprint minutiae matching based on the local and global structures
  • Xudong JiangW. Yau
  • Engineering
    Proceedings 15th International Conference on…
  • 1 September 2000
TLDR
The proposed minutiae matching scheme is suitable for an online processing due to its high processing speed and experimental results show the performance of the proposed technique.
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Noise-Resistant Local Binary Pattern With an Embedded Error-Correction Mechanism
TLDR
A noise-resistant LBP (NRLBP) is proposed to preserve the image local structures in presence of noise and an error-correction mechanism to recover the distorted image patterns is developed.
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Fingerprint quality and validity analysis
TLDR
A monotonic relationship is found indicating that the proposed algorithm is feasible in detecting low quality as well as invalid fingerprint images.
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Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation
TLDR
A set of 2D transforms, based on a set of orthogonal projection bases, to generate aSet of features which are invariant to rotation, called Polar Harmonic Transforms (PHTs), which encompass the orthogonality and invariance advantages of Zernike and pseudo-Zernike moments, but are free from their inherent limitations.
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Deep Coupled ResNet for Low-Resolution Face Recognition
TLDR
Thorough evaluation on LFW and SCface databases shows that the proposed DCR model achieves consistently and considerably better performance than the state of the arts.
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LBP-Based Edge-Texture Features for Object Recognition
TLDR
DRLBP and DRLTP solve the problem of discrimination between a bright object against a dark background and vice-versa inherent in LBP and LTP and retain contrast information necessary for proper representation of object contours that LBP, LTP, and RLBP discard.
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Sparse and Dense Hybrid Representation via Dictionary Decomposition for Face Recognition
  • Xudong JiangJ. Lai
  • Computer Science
    IEEE Transactions on Pattern Analysis and Machine…
  • 1 May 2015
TLDR
A sparse- and dense-hybrid representation (SDR) framework is proposed in this paper to alleviate the problems of SRC and a procedure of supervised low-rank (SLR) dictionary decomposition is proposed to facilitate the proposed SDR framework.
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Fingerprint image quality analysis
TLDR
This paper discusses methods in evaluating fingerprint image quality on a local level using feature vectors extracted from fingerprint image subblocks and three different classifiers employed to compare each of its different effectiveness.
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Face recognition using sift features
TLDR
Two new approaches are proposed: Volume-SIFT (VSIFT) and Partial-Descriptor-Sift (PDSIFT) for face recognition based on the original SIFT algorithm, which can achieve comparable performance as the most successful holistic approach ERE and significantly outperforms FLDA and NLDA.
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