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

fYear

2014

fDate

22-24 Aug. 2014

Firstpage

357

Lastpage

361

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2014 9th International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

978-1-4799-2949-8

Type

conf

DOI

10.1109/ICCSE.2014.6926485

Filename

6926485