An Improved Cross-Correlation Algorithm Based on Wavelet Transform and Energy Feature Extraction for Pipeline Leak Detection

ICPTT 2012 ◽  
2012 ◽  
Author(s):  
Xinxin Wang ◽  
Ming Zhao ◽  
Suzhen Li
Keyword(s):  
Feature Extraction ◽  
Wavelet Transform ◽  
Cross Correlation ◽  
Leak Detection ◽  
Correlation Algorithm ◽  
Energy Feature

Feature Extraction by Decryption to Target

2014 ◽  
Vol 1008-1009 ◽  
pp. 1509-1512
Author(s):  
Qing E Wu ◽  
Hong Wang ◽  
Li Fen Ding
Keyword(s):  
Feature Extraction ◽  
Wavelet Transform ◽  
Extraction Method ◽  
Recognition Rate ◽  
Region Of Interest ◽  
Correct Recognition ◽  
Palmprint Recognition ◽  
Feature Extraction Method ◽  
Energy Feature ◽  
Correct Recognition Rate

To carry out an effective classification and recognition for target, this paper studied the target owned characteristics, discussed a decryption algorithm, gave a feature extraction method based on the decryption process, and extracted the feature of palmprint in region of interest. Moreover, this paper used the wavelet transform to extract the energy feature of target, gave an approach on matching and recognition to improve the correctness and efficiency of existing recognition approaches, and compared it with existing approaches of palmprint recognition by experiments. The experiment results show that the correct recognition rate of the approach in this paper is improved averagely by 2.34% than that of the existing recognition approaches.

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