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    Determination age and gender with developed a novel algorithm in image processing techniques by implementing to dental X-ray images
    (ROMANIAN LEGAL MED SOC, 2018) Avuclu, Emre; Basciftci, Fatih
    Age determination process is very important in legal medicine and forensic sciences. After a massive disaster or a legal situation, identification may be required. Age determination process is requested from the forensic medicine institute for live or dead body. In such cases, age determination process must be done correctly. In this study, a database was created with a total of 1313 panoramic dental images to determine age and gender. The images in this database are stored in different 6 folders (M1, M2, M3, M4, M5, M6) by preprocessing with image processing techniques. The calculation of the morphological properties of teeth in this folder (height, area, perimeter, similarity, center of gravity, radius of teeth) are stored separately in XML files (XML1, XML2, XML3, XML4, XML5, XML6). In order to obtain better results in determining age and gender, a novel and originally developed algorithm has been applied to the trapezoidal images in the database. Morphological measurement comparisons were made by testing the teeth with height, area, perimeter, radius, similarity ratio, center of gravity information separately. Thanks to the new and originally developed algorithms, the age determination process was performed with an error of +-1 years in general. In addition to the age determination process, gender determination was also performed. In this study, a multi-disciplinary study was performed to determine the age and gender from dental x-ray images.
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    Face to Recognize and Position Reporting System Design
    (Selçuk Üniversitesi, 2015) Avuclu, Emre; Basciftci, Fatih
    The This study is designed to find lost on a system. There are two main components in the system. The first application on the computer, the second robot swims in the outside world. Pictures of missing persons will be saved in the application. WiFi camera on the robot is put into application in the image center. Application matches the registered face images with a face in the coming images. A result of the pairing, alerts application. The location information of the robot can be learned.
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    A new approach to minimize the loss of life after natural hazards by using Android operating system
    (SPRINGER, 2018) Avuclu, Emre; Basciftci, Fatih
    Nowadays, the usage rates of smartphones are increasing rapidly. With the versatility of its features, smartphones have succeeded in attracting users. Performing this study has also affected the usage rate of smartphones every day. It is possible to determine the position with GPS (Global Positioning System) technology which is located in smartphones. In this study, smartphone location notification was used to detect the locations of the people who were under debris after the earthquake by means of the phones on them. People who cannot be reached for any reason will be immediately identified, and emergency interventions will be possible. Thus, the survival rate of the injured will be high with early intervention. In this study, it was aimed to minimize the loss of life after the earthquake and all the negativities that would be experienced in society due to this loss. The developed application has been tested in the external world, and the obtained data are given in results section.
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    New approaches to determine age and gender in image processing techniques using multilayer perceptron neural network
    (ELSEVIER, 2018) Avuclu, Emre; Basciftci, Fatih
    As a result of some events (disasters, inheritance, disappearances etc.), age and gender determination can be vital for people. Forensic medical institutions make the determination of age by examining the structures such as teeth and bones. Procedures for forensic science are currently estimated manually according to certain morphological findings on the tooth. In this study, 1313 panoramic dental images were used automatically to estimate age. Image preprocessing is applied on these images. Trapezoidal teeth are corrected in the coordinate plane to obtain more accurate and standard results. In the study, the correction process is done with original and novel developed algorithm. Dental images are automatically and dynamically segmented and feature vectors are created by extracting their features. The generated feature vectors are dynamic and presented as inputs to the Multilayer Perceptron Neural Network. Depending on the request, the number of input count reduction process can be performed. In this study, age and gender were determined from dental x-ray images with novel and originally developed algorithm. The application is written in C # programming language. In some tooth groups, the highest classification rate of 100% and age determination with 0 error were performed. With this study, age determination in forensic science will be more accurate. (C) 2018 Elsevier B.V. All rights reserved.