@Article{2019.100000103,
AUTHOR = {Nan Pan, Dilin Pan, Yi Liu},
TITLE = {The Crime Scene Tools Identification Algorithm Based on GVF‐Harris‐SIFT  and KNN},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {2},
PAGES = {413--419},
URL = {http://www.techscience.com/iasc/v25n2/39669},
ISSN = {2326-005X},
ABSTRACT = {In order to solve the cutting tools classification problem, a crime tool 
identification algorithm based on GVF-Harris-SIFT and KNN is put forward. The 
proposed algorithm uses a gradient vector to smooth the gradient field of the 
image, and then uses the Harris angle detection algorithm to detect the tool 
angle. After that, the descriptors of the eigenvectors in corresponding feature 
points were using SIFT to obtained. Finally, the KNN machine learning 
algorithms is employed to for classification and recognition. The experimental 
results of the comparison of the cutting tools show the accuracy and reliability 
of the algorithm.},
DOI = {10.31209/2019.100000103}
}