Xuzhou Li

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Persistent somatoform pain disorder (PSPD) is a mental disorder un-associated with any somatic injury and can cause severe somatosensory and emotional impairments in patients. However, so far, the neuro-pathophysiological mechanism of the functional impairments in PSPD is still unclear. The present study assesses the difference in regional spontaneous(More)
Diffusion tensor imaging (DTI) data often suffer from artifacts caused by motion. These artifacts are especially severe in DTI data from infants, and implementing tight quality controls is therefore imperative for DTI studies of infants. Currently, routine procedures for quality assurance of DTI data involve the slice-wise visual inspection of(More)
Research on biometrics for high security applications has not attracted as much attention as civilian or forensic applications. Limited research and deficient analysis so far has led to a lack of general solutions and leaves this as a challenging issue. This work provides a systematic analysis and identification of the problems to be solved in order to meet(More)
SIFT is a novel and promising method for iris recognition. However, some shortages exist in many related methods, such as difficulty of feature extraction, feature loss, and noise point introduction. In this paper, a new method named SIFT-based iris recognition with normali-zation and enhancement is proposed for achieving better performance. In Comparison(More)
—Fingerprint identification system operates by acquiring a fingerprint image and comparing it with the template image, therefore the accuracy of system depends highly on the quality of template image. In this paper, we propose a method to select template based on fingerprint image quality. In the proposed method, four features firstly are extracted from a(More)
Fingerprint image enhancement is an essential preprocessing step in fingerprint recognition applications. In this paper, a Separable Gabor filter with Bresenham (SGB) is introduced for fast fingerprint enhancement. A Curve Mask Gabor (CMG) is designed to improve the performance of SGB. Experiments are performed on FVC2004. Results indicate that the SGB can(More)