Human Identification by Ear Images Using SIFT Algorithm
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 111 | Views: 379

Research Paper | Electronics & Communication Engineering | India | Volume 2 Issue 5, May 2013 | Popularity: 6.6 / 10


     

Human Identification by Ear Images Using SIFT Algorithm

Himanshu Maurya, Shikha Maurya


Abstract: This paper presents a method for extracting distinctive invariant features from ear images that can be used to perform reliable matching between different views of an ear. It shows the extraction of features from an ear image and also the results of it are matching with other samples of both same and different subjects. Each of these feature vectors is supposed to be distinctive and invariant to any scaling, rotation or translation of the image


Keywords: Biometric, Feature extraction, SIFT, Matching


Edition: Volume 2 Issue 5, May 2013


Pages: 58 - 62



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Himanshu Maurya, Shikha Maurya, "Human Identification by Ear Images Using SIFT Algorithm", International Journal of Science and Research (IJSR), Volume 2 Issue 5, May 2013, pp. 58-62, https://www.ijsr.net/getabstract.php?paperid=IJSRON2013978, DOI: https://www.doi.org/10.21275/IJSRON2013978

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