Title :
Seal identification based on SIFT and edge direction histogram
Author :
Ning Ding ; Xue-dong Zhang ; Zhi-feng Wang ; Chuan Wan
Author_Institution :
Sch. of Electron. & Inf. Eng., Univ. of Sci. & Technol. Liaoning, Anshan, China
Abstract :
For purpose of solving the imperfect problems of SIFT method those lack of edge feature detect and low identification rate, the paper propose the integration of the SIFT and edge direction histogram method, and discusses how to use edge direction histogram on the basis of the SIFT feature vector matching to product edge direction difference values further more carry out the seal identification, by the same sample database of Seal image experimental results show that the fusion algorithm enhances the identification rate to 95%.
Keywords :
edge detection; feature extraction; image fusion; image matching; statistical analysis; SIFT feature vector matching; SIFT method; edge direction difference values; edge direction histogram; edge feature detection; fusion algorithm; identification rate; scale invariant feature transform; seal identification; Computers; Histograms; Image edge detection; Libraries; Edge Direction Histogram; Scale Invariant Feature Transform; Seal Identification;
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
DOI :
10.1109/ICCSE.2014.6926485