Mohammed, Tareq AbedAlazzawi, AbdulbasitUçan, Osman NuriBayat, Oğuz2021-05-152021-05-152018978-1-4503-6536-9https://doi.org/10.1145/3279996.3280011https://hdl.handle.net/20.500.12939/9101rst International Conference on Data Science, E-Learning and Information Systems (DATA) -- OCT 01-02, 2018 -- Univ Distancia Madrid, Madrid, SPAINalazzawi, abdulbasit/0000-0001-9210-7080We performed multi-layer perceptron neural networks MLPNN and Radial Basis neural networks RBNN. In the MLPNN, we applied three layers (input, Hidden, and output) with sigmoid transfer function. Similarly, we used RBNN. Both classifiers are used after preprocessing operations BIOID data set is used in training and testing phases to test the proposed face recognition system combinations. According to the experimental results, the proposed schemes achieved satisfactory results with high accuracy classificationeninfo:eu-repo/semantics/closedAccessNeural NetworkFace RecognitionArtificial IntelligenceMachine LearningPreprocessing Edge DetectionConference Object10.1145/3279996.32800112-s2.0-85058183167N/AWOS:000511409000015N/A