The student (Hajar Najah Abdel-Saheb) obtained a master's degree from the Department of Computer Science / University of Technology for her thesis (Hybrid Biometric Identification System Based on Principal Component Analysis (PCA) Features Extraction And Neural Network (NN) Classifier) Among several people whose biometrics were collected in a database. The vital features that we rely on in this message are teeth and DNA. Basic concepts are introduced to identify one of many through the use of biometric standards and how these standards have been improved in the last few years. It presents various research and techniques related to this subject and concepts for evaluating these techniques. Presents a new way to identify a person from his own DNA and teeth which is widely used in forensic, border regulation, paternity determination and in investigations. The system contains three main modules: the dental model, the DNA model and the dental model mixture and the DNA (hybrid). The dental model has two main stages: the training phase (sampling of the database) and the testing stage (identification). These stages include the processing stage and the stage of extracting the characteristic features.

This was on Thursday 27/9/2018 at the discussion hall in the annex building of the department. The discussion committee consisted of (Dr. Soukaina Hussein Hashim and Dr. Rahim Abdel-Saheb Ogla) from the University of Technology / Department of Computer Sciences and (Dr. Samer Saeed Ibrahim) from Al Rafidain College / Department of Computer Science in the presence of the student's supervisor (Dr. Shaimaa' Hamid Shaker).

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