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High Performance Automatic ROI Extraction from Hand Images with Convolutional Neural Networks
Kosmaz Sunnetci, Betul; Bingol, Ozkan; Gedikli, Eyup; Ekinci, Murat (Institute of Electrical and Electronics Engineers Inc., 21 Septemb)Automatic ROI extraction from hand images is a critical step in palmprint recognition. Traditional methods involve steps such as identifying the region of the hand, finding the valleys between the fingers and marking the ... -
In Different Scenarios MobileNet-V1 for Cross-view Gait Recognition
Yaprak, Busranur; Gedikli, Eyup (Institute of Electrical and Electronics Engineers Inc., 4 Septembe)Gait recognition aims to identify people from a distance by analyzing their walking style. Nevertheless, the efficacy of recognition drops significantly under cross-view and, appearance-based variations such as carrying ... -
Meta-Heuristic Algorithms Based Multi-Level Thresholding
Kucukugurlu, Busranur; Gedikli, Eyup (IEEE, 2019)Thresholding is a very important stage in computer vision applications. An ideal single thresholding algorithm is not available for all environments. Multi-level thresholding in environments with multiple objects is ... -
Symbiotic Organisms Search Algorithm for multilevel thresholding of images
Kucukugurlu, Busranur; Gedikli, Eyup (Pergamon-Elsevier Science Ltd, 2020)Thresholding is a frequently used method in image processing because of its consistency and low computational cost. Otsu's and Kapur's methods are two important techniques that were proved to be best thresholding methods. ...
