References
- Aldahadha, B. 2018. Disputing Irrational Beliefs Among Convicted Terrorists and Extremist Beliefs. Journal of Rational-Emotive & Cognitive-Behavior Therapy, 1–14. DOI: 10.1007/s10942-018-0293-7
- Amayeh, G, Bebis, G, Erol, A and Nicolescu, M. 2006. Peg-free hand shape verification using high order Zernike moments. New York, USA, IEEE.
- Amayeh, G, Bebis, G and Hussain, M. 2010. A Comparative Study of Hand Recognition Systems, 1–6. s.l., s.n.
- Aragonès, F. 2013. Visible, near infrared and thermal hand-based image biometric recognition. s.l.: s.n.
- Basheer, S and Robinson, M. 2013. Reduce Data Utilization Scheme for Biometric Hand Recognition using Six Features. International Journal of Scientific & Engineering Research, 4(4): 717–724.
- Birajdar, GK and Mankar, VH. 2013. Digital image forgery detection using passive techniques: A survey. Digital Investigation, 10(3): 226–245. DOI: 10.1016/j.diin.2013.04.007
- Bogazici-University. 2015. Hand Geometry Database and Hand-Vein Database. [Online] Available at:
http://bosphorus.ee.boun.edu.tr/hand/Home.aspx [Accessed 5 12 2015]. - Bradbury, D. 2005. No place to hide. Digital Investigation, 2(6): 33–35.
- Dhole, SA and Patil, VH. 2012. Person Identification Using Peg Free Hand Geometry Measurement. International journal of engineering science and technology, 4(6).
- Duta, N. 2009. A survey of biometric technology based on hand shape. Pattern Recognition, 42(11): 2797–2806. DOI: 10.1016/j.patcog.2009.02.007
- Dutagac, H, Sankur, B and Yoruk, E. 2008. A comparative analysis of global hand appearance-based person recognition. Journal of Electronic Imaging, 17(1): 011018/1–011018/19.
- Fong, S, Zhuang, Y, Fister, I and Fister, I,
Jr. 2013. A biometric authentication model using hand gesture images. Biomedical engineering online, Fong, S, Zhuang, Y, Fister, I and Fister, I,Jr. (eds.), 12(111). - Frank, E, Hall, MA and Witten, IH. 2016. The WEKA Workbench. Online Appendix for “Data Mining: Practical Machine Learning Tools and Techniques”. s.l.: Morgan Kaufmann.
- Guo, J-M, et al. 2012. Contact-free hand geometry-based identification system. Expert Systems with Applications, 39(14): 11728–11736. DOI: 10.1016/j.eswa.2012.04.081
- Hassanat, A. 2014. Dimensionality Invariant Similarity Measure. Journal of American Science, 10(8): 221–26.
- Hassanat, A, et al. 2015. New Mobile Phone and Webcam Hand Images Databases for Personal Authentication and Identification. Procedia Manufacturing, 3: 4060–4067. DOI: 10.1016/j.promfg.2015.07.977
- Hassanat, A, Alkasassbeh, M, Al-awadi, M and Alhasanat, E. 2015.
Colour-based lips segmentation method using artificial neural networks . Amman, IEEE, 188–193. - Hassanat, AB, et al. 2017. Victory sign biometrie for terrorists identification: Preliminary results, 182–187. Irbid, IEEE.
- Hassanat, AB, Alkasassbeh, M, Al-awadi, M and Alhasanat, EA. 2016. Color-based object segmentation method using artificial neural network. Simulation Modelling Practice and Theory, 64(1): 3–17. DOI: 10.1016/j.simpat.2016.02.011
- Hu, MK. 1962. Visual Pattern Recognition by Moment Invariants. IRE Trans. Info. Theory, IT-8: 179–187. DOI: 10.1109/TIT.1962.1057692
- Kang, W and Wu, Q. 2014. Pose-Invariant Hand Shape Recognition Based on Finger Geometry. Systems, Man, and Cybernetics: Systems, IEEE Transactions on, 44(11): 1510–1521. DOI: 10.1109/TSMC.2014.2330551
- Kukula, E and Elliott, S. 2006. Implementation of hand geometry: An analysis of user perspectives and system performance. EEE Aerospace and Electronic System Magazine, 21(3): 3–9. DOI: 10.1109/MAES.2006.1624184
- Kumar, A, Wong, D, Shen, H and Jain, A. 2006. Personal authentication using hand images. Pattern Recognition Letters, 27: 1478–1486. DOI: 10.1016/j.patrec.2006.02.021
- Liao, S and Pawlak, M. 1996. On image analysis by moments. IEEE Transactions on Pattern analysis and machine intelligence, 18(3): 254–266. DOI: 10.1109/34.485554
- Luque-Baena, R, et al. 2013. Assessment of geometric features for individual identification and verification in biometric hand systems. Expert Systems with Applications, 40(9): 3580–3594. DOI: 10.1016/j.eswa.2012.12.065
- Ma, Y, Pollick, F and Hewitt, W. 2004. Using b-spline curves for hand recognition, 274–277. s.l., IEEE.
- Oh, S-K, Yoo, S-H and Pedrycz, W. 2013. Design of face recognition algorithm using PCA-LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks: Design and its application. Expert Systems with Applications, 40(5): 1451–1466. DOI: 10.1016/j.eswa.2012.08.046
- Otsu, N. 1979. A threshold selection method from gray-level histograms. IEEE Trans. Sys., Man., Cyber., 9(1): 62–66. DOI: 10.1109/TSMC.1979.4310076
- Pavešić, N, Ribarić, S and Ribarić, D. 2004. Personal authentication using hand-geometry and palmprint features–the state of the art. Hand, 11: 12.
- Sanchez-Reillo, R, Sanchez-Avila, C and Gonzalez-Marcos, A. 2000. Biometric identification through hand geometry measurements. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(10): 1168–1171. DOI: 10.1109/34.879796
- Sidlauskas, D. 1994. HAND: Give me five. IEEE Spectrum, 32(2): 24–25.
- Sinha, A, Choi, C and Ramani, K. 2016. Deephand: Robust hand pose estimation by completing a matrix imputed with deep features, 4150–4158. Las Vegas, IEEE.
- Tarawneh, AS, Chetverikov, D and Hassanat, AB. 2018. Pilot Comparative Study of Different Deep Features for Palmprint Identification in Low-Quality Images, 1–6. Budapest, s.n.
- Varchol, P and Levicky, D. 2007. Using of hand geometry in biometric security systems. Radioengineering, 16(4): 82–87.
- Zhang, H, Fritts, JE and Goldman, SA. 2008. Image segmentation evaluation: A survey of unsupervised methods. Computer vision and image understanding, 110(2): 260–280. DOI: 10.1016/j.cviu.2007.08.003
- Zhao, W, et al. 1998.
Discriminant Analysis of Principal Components for Face Recognition . In: Face Recognition, 73–85. Berlin: Springer. DOI: 10.1007/978-3-642-72201-1_4