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These measures are employed as inputs to commonly used classification techniques such as Neural Networks (NN), k-Nearest Neighbor (KNN) and Support Vector Machines (SVM). To test the methods and evaluate its performance, a series of experiments were performed on two-dimensional face image databases (ORL and Yale). The experimental results also indicated that the extraction of image features is computationally more efficient using Geodesic Distance than Euclidean Distance.<\/jats:p>","DOI":"10.4018\/jeco.2018010105","type":"journal-article","created":{"date-parts":[[2017,12,26]],"date-time":"2017-12-26T15:14:54Z","timestamp":1514301294000},"page":"57-71","source":"Crossref","is-referenced-by-count":1,"title":["Two-Dimensional Face Surface Analysis Using Facial Feature Points Detection Approaches"],"prefix":"10.4018","volume":"16","author":[{"given":"Rachid","family":"Ahdid","sequence":"first","affiliation":[{"name":"Department of Mathematics and Informatics, Sultan Moulay Slimane University, Beni Mellal, Morocco"}]},{"given":"Es-said","family":"Azougaghe","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Informatics, Sultan Moulay Slimane University, Beni Mellal, Morocco"}]},{"given":"Said","family":"Safi","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Informatics, Sultan Moulay Slimane University, Beni Mellal, Morocco"}]},{"given":"Bouzid","family":"Manaut","sequence":"additional","affiliation":[{"name":"Departement of Physics, Sultan Moulay Slimane University, Beni Mellal, Morocco"}]}],"member":"2432","reference":[{"issue":"4","key":"JECO.2018010105-0","first-page":"1793","article-title":"Face Recognition Using Eigen Faces and Artificial Neural Network","volume":"2","author":"M.Agarwal","year":"2010","journal-title":"International Journal of Computer Theory and Engineering"},{"issue":"6","key":"JECO.2018010105-1","article-title":"Methods of Geodesic Distance in Two-Dimensional Face Recognition. 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