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Recognition of Ancient Egyptian Artifacts using a Feature Points Extraction Methodology
Amr M.S. Goneid, Arsani Sinout, Mohammed Lamine, Mohamed Samir, Omar Helmy, Salma Talaat, Youssef Walaa
Pages - 15 - 28     |    Revised - 01-03-2022     |    Published - 30-04-2022
Volume - 16   Issue - 1    |    Publication Date - April 2022  Table of Contents
Ancient Artifacts, Image Recognition, Feature Points Extraction, Image Processing.
content information. We present the methodology and the results obtained for the recognition of a sample of small ancient Egyptian artifacts. Our work uses the collection of artifacts images as input data and uses recent image processing and feature point extraction methodologies for the recognition and identification of these artifacts.

Our methodology for recognition relies on a feature point extraction approach using the FAST (Features from Accelerated Segment Test) corner detection algorithm. Using a dataset of 254 artifacts images, we investigated the dependence of the recognition rate on various factors including number of strongest feature points, the threshold for the nearest neighbor metric, and the image scale factor. Using the FAST algorithm with the optimal factors found in our study, we achieve a recognition rate for the artifacts of around 90% accuracy. We find our methodology to be robust and to provide good means of recognizing small ancient Egyptian artifacts.
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Professor Amr M.S. Goneid
Department of Computer Science and Engineering, The American University in Cairo, New Cairo, 11835 - Egypt
Mr. Arsani Sinout
Department of Computer Science and Engineering, The American University in Cairo, New Cairo, 11835 - Egypt
Mr. Mohammed Lamine
Department of Computer Science and Engineering, The American University in Cairo, New Cairo, 11835 - Egypt
Mr. Mohamed Samir
Department of Computer Science and Engineering, The American University in Cairo, New Cairo, 11835 - Egypt
Mr. Omar Helmy
Department of Computer Science and Engineering, The American University in Cairo, New Cairo, 11835 - Egypt
Miss Salma Talaat
Department of Computer Science and Engineering, The American University in Cairo, New Cairo, 11835 - Egypt
Mr. Youssef Walaa
Department of Computer Science and Engineering, The American University in Cairo, New Cairo, 11835 - Egypt

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