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Palmprint Recognition Systems (PRS) with multi-feature can increase the recognition performance of PRS. For such a purpose, effectively distinguished information with low dimension is important in fusion for palmprint recognition. Usually, color information is a beneficial feature in image retrieval. But it is always ignored in recognition. This paper proposes a novel palmprint recognition algorithm...
This paper designs and implements a MBS (Micro Bank System) based on IBM Z900 to fit the rapid development of small bank business. First, the meaning of implementing MBS is analyzed. Then the details of three layers architecture are described. Then the details of designing the Micro Bank System's several sub-systems are described. The designation of MBS provides a convenient way to expand bank sub-system...
Mining investment is a kind of venture capital, the risk level of which is impacted by various factors. There are still a lot of uncertainty and ambiguity in the process of evaluating on mining investment decision, so it is more suitable to use fuzzy evaluation methods for it. The core of fuzzy evaluation is membership degree transformation. But the existing transformation methods should be questioned,...
The core of fuzzy evaluation on the safety of belt conveying system is membership degree transformation. But the existing transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge...
The core of performance fuzzy evaluation is membership degree transformation. But the transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge information about object classification...
In order to realize evaluation of oil storage safety, clear the redundant data in indexes membership which is not useful for goal classification, based on data mining of entropy, mining knowledge information about object classification hidden in every index, affirming the relation of object classification and index membership, eliminating the redundant data in index membership for object classification...
In any multi-indexes uncertainty decisions, if choosing membership function to describe the uncertainty of every space-index value about some status, it must meet membership degree conversion, which must solve the conversion from membership degree of coordinates to membership degree of points. But the present methods affect the credibility of result of decision because of the redundant data. So, by...
The core of fuzzy evaluation on the safety of chemical industrial park is membership degree transformation. But the transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge information...
Multimodal biometric system utilizes two or moreindividual modalities, e.g., face, ear, and fingerprint, toimprove the recognition accuracy of conventional unimodalmethods. We propose a new dimensionality reduction methodcalled Dimension Reduce Projection (DRP) in this paper. DRPcan not only preserve local information by capturing the intramodal geometry, but also extract between-class relevant structures...
This paper proposes a comparison in handmetrics between quaternion Euclidean product distance (QEPD) and Cauchy-Schwartz inequality distance (CSID), where "handmetrics" refers to biometrics on palmprint or finger texture. Previously, we proposed QEPD and CSID these two 2D wavelet decomposition based distances for palmprint authentication and face verification respectively. All two distances...
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