@article{MAKHILLJEAS2019142018554,
    title = {Image Matching Performance Comparison using SIFT, ASIFT and
Moment Invariants},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {20},
    pages = {7656-7662},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.7656.7662},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.7656.7662},
    author = {Zinah,Reem,Sif. K.,Haider and},
    keywords = {Image matching,SIFT,ASIFT,moment invariants,rotating invariant,scaling invariant},
    abstract = {It is important to improve the performance of images matching, so that, many algorithms have been
studied to achieve this goal. However, finding best one is still a very interested field of study because the
performance of matching is a wide term containing many factors like rotating invariant, scaling invariant, noise
invariant and etc. In this study, we compare the performance of the algorithms by calculating the score of
matching which is number of key points and number of matching. The descriptor should study with all cases
such as rotation with different angels and scaling of different sizes. We have implemented the Scale Invariant
Feature Transform (SIFT) as a first algorithm then we applied Affine Scale Invariant Feature Transform (ASIFT),
finally we applied moment invariants. Therefore by evaluating the results of these algorithms we can know
which one has good matches. ASIFT has shown a great performance in term of image matching.}
    }