Home About Login Current Archives Announcements Editorial Board
Submit Now For Authors Call for Submissions Statistics Contact
Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44880

Interest Point Descriptor between SURF and SIFT Method for Multibiometric

Safa Hussein, Karrar Ibrahim

Abstract

The multiple biometrics feature can achieve high accuracy due to its stable and uniqueness of features. In this paper, the Scale Invariant Feature Transform (SIFT) algorithm and Speeded Up Robust Features (SURF) algorithm are compared to analyze the speed and accuracy of multiple biometrics to extract pixel energy. The SIFT and SURF method extracts local feature points for all biometrics, then identifies the scale invariant in each biometrics and then express key points used to local patterns around the key points. The fuzzy-c mean algorithm is utilized segmentation after pre-processing is applied to all images using a brightness image. The result of the experiment proved that the SURF algorithm is faster than SIFT.

Keywords

ComputerScience,Image processing

Full Text

PDF

References

?>