@Article{2019.100000097,
AUTHOR = {Nan Pan, Yi Liu, Dilin Pan, Junbing Qian, Gang Li},
TITLE = {Line Trace Effective Comparison Algorithm Based on Wavelet Domain  DTW},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {2},
PAGES = {359--366},
URL = {http://www.techscience.com/iasc/v25n2/39663},
ISSN = {2326-005X},
ABSTRACT = {It will face a lot of problems when using existing image-processing and 3D 
scanning methods to do the similarity analysis of the line traces, therefore, an 
effective comparison algorithm is put forward for the purpose of making 
effective trace analysis and infer the criminal tools. The proposed algorithm 
applies wavelet decomposition to the line trace 1-D detection signals to partially 
reduce background noises. After that, the sequence comparison strategy based 
on wavelet domain DTW is employed to do trace feature similarity matching. 
Finally, using linear regression machine learning algorithm based on gradient 
descent method to do constant iteration. The experiment results of line traces 
sample data comparison demonstrate the accuracy and reliability of the 
proposed algorithm.},
DOI = {10.31209/2019.100000097}
}