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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)
Proportional-Integral-Derivative (PID) controller is still widely used in control engineering, and tuning of PID is a crucial operation. We utilize particle swarm optimization algorithm to design an online self- tuning framework of PID controller. Our system is simulated in Matlab based on particle swarm optimi- zation algorithm. Experiment focus on several(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)
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 normalization and enhancement is proposed for achieving better performance. In Comparison(More)
Fingerprint matching is one of the most important modules in the Automatic Fingerprint Identification System (AFIS). This paper proposes a minutiae matching algorithm that uses minutiae-centered circular regions to help ensure the stablity of matching and the robustness to non-linear distortion. In our method, a circular region is constructed around each(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)
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)
Finger vein recognition is a promising biometric recognition due to its some advantages. For a finger vein recognition system, feature extraction is a critical step for the final recognition. In our previous work, we proposed Personalized Best Bit Map(PBBM) which selected the stable bits from LBP. Although PBBM achieve a better performance, it still(More)
The average ridge distance of fingerprint images is a very important parameter for fingerprint image enhancement, which will greatly affect the performance of fingerprint recognition. A method of efficient ridge distance estimation based on typical image blocks is proposed. First, we obtain some typical candidate image blocks through the initial selection(More)