Multilayer perceptron neural network in classifying gender using fingerprint global level features SF Abdullah, A Rahman, ZA Abas, WHM Saad Indian Journal of Science and Technology 9 (9), 1-6, 2016 | 44 | 2016 |
Classification of Gender by Using Fingerprint Ridge Density in Northern Part of Malaysia SF Abdullah, A Rahman, ZA Abas Journal of Engineering and Applied Science, 2015 | 28 | 2015 |
Development of a Fingerprint Gender Classification Algorithm Using Fingerprint Global Features SF Abdullah, A Rahman, ZA Abas, WHM Saad International Journal of Advanced Computer Science and Applications 7 (6), 2016 | 16 | 2016 |
Fingerprint Gender Classification Using Univariate Decision Tree (J48) SF Abdullah, AFNA Rahman, ZA Abas, WHM Saad Journal of Advanced Computer Science And Applications 7 (9), 217-221, 2016 | 15* | 2016 |
Rice grain grading classification based on perimeter using moore-neighbor tracing method MM Piramli, A Rahman, SF Abdullah Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 8 …, 2016 | 14 | 2016 |
Support Vector Machine, Multilayer Perceptron Neural Network, Bayes Net and k-Nearest Neighbor in Classifying Gender using Fingerprint Features SF Abdullah, AFNA Rahman, ZA Abas, WHM Saad International Journal of Computer Science and Information Security (IJCSIS …, 2016 | 11* | 2016 |
Support Vector Machine, Multilayer Perceptron Neural Network, Bayes Net And K-nearest Neighbor in Classifying Gender Using Fingerprint Global Level Features SF Abdullah, AFNA Rahman, ZA Abas, WHM Saad | 11 | 2016 |
Fingerprint Based Gender Classification Using Discrete Wavelet Transform and K-Nearest Neighbor SF Abdullah, AFNA Rahman, ZA Abas, WHM Saad Journal of Computer Science and Information Security (IJCSIS) 14 (8), 340-344, 2016 | 1* | 2016 |
CLASSIFICATION OF GENDER BY USING FINGERPRINT RIDGE DENSITY IN NORTHERN PART OF MALAYSIA SF Abdullah, A Rahman, ZA Abas | 1 | 2006 |
Comparative study between feature extraction methods for face recognition SF Abdullah Universiti Teknikal Malaysia Melaka, 2014 | | 2014 |
Faculty of Information and Communication Technology SFB Abdullah | | |