Browsing by Author "SHAKIR, MUSTAFA KANAAN"
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Item HUMAN IDENTIFICATION AND VERIFICATION BY HAND GEOMETRY INFORMATION(2022-03-10) SHAKIR, MUSTAFA KANAAN; ŞENGÜL, GökhanIn this thesis, a hand geometry-based human identification system is proposed. The hand is a vital component of the human body. It consists of many unique features that can be used for human identification and verification systems. This study presents an approach for recognizing the human using the features extracted from hand images. The proposed method is implemented in three steps, namely preprocessing, feature extraction and classification phases. In the preprocessing step, the hand images are resized for the feature extraction model. In the feature extraction phase, the convolutional neural network (AlexNet model) is used in order to extract hand features. The extracted features are classified using the well*known Support Vector Machines (SVM) and k-nearest-neighbourhood classifiers. The proposed method is tested on the CASIA-MS-Palmprint dataset, using a different number of training and testing images. in used for the hand geometry-based recognition system. The average accuracy, sensitivity, and specificity were 94.36, 89.96 and 90.36. We conclude that the recognition accuracy rate is reasonable when the system is trained with an adequate number of images.