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
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