Indian sign language recognition using Krawtchouk moment-based local features

References

• Hu MK. Visual pattern recognition by moment invariants. IEEE Trans Inf Theory. 1962;8(2):179–187. doi: 10.1109/TIT.1962.1057692
   Web of Science ®Google Scholar
• Teague MR. Image analysis via the general theory of moments. J Opt Soc Am. 1980;70(8):920–930. doi: 10.1364/JOSA.70.000920
   Web of Science ®Google Scholar
• Mukundan R, Ong SH, Lee PA. Image analysis by Tchebichef moments. IEEE Trans Image Proc. 2001;10(9):1357–1364. doi: 10.1109/83.941859
   PubMed Web of Science ®Google Scholar
• Pryzva GY. Kravchuk orthogonal polynomials. Ukr Math J. 1992;44(7):792–800. doi: 10.1007/BF01056132
   Google Scholar
• Zhang G, Luo Z, Fu B, et al. A symmetry and bi-recursive algorithm of accurately computing Krawtchouk moments. Pattern Recognit Lett. 2010;31(7):548–554. doi: 10.1016/j.patrec.2009.12.007
   Web of Science ®Google Scholar
• Yap PT, Raveendran P, Ong SH. Image analysis by Krawtchouk moments. IEEE Trans Image Proc. 2003;12(11):1367–1377. doi: 10.1109/TIP.2003.818019
   PubMed Web of Science ®Google Scholar
• Sit A, Kihara D. Comparison of image patches using local moment invariants. IEEE Trans Image Proc. 2014;23(5):2369–2379. doi: 10.1109/TIP.2014.2315923
   PubMed Web of Science ®Google Scholar
• Wang X, Xie B, Yang Y. Combining Krawtchouk moments and HMMs for offline handwritten Chinese character recognition. International Conference on Intelligent Systems; 2006. p. 661–665.
   Google Scholar
• Nor’aini AJ, Raveendran P, Selvanathan N. A comparative analysis of feature extraction methods for face recognition system. Proceedings of Asian Conference on Sensors and the International Conference on New Techniques in Pharmaceutical and Biomedical Research; 2005. p. 176–181.
   Google Scholar
• Rani JS, Devaraj D. Face recognition using Krawtchouk moment. Sadhana-Acad Proc Eng Sci. 2012;37(4):441–460.
   Web of Science ®Google Scholar
• Priyal SP, Bora PK. A robust static hand gesture recognition system using geometry based normalizations and Krawtchouk moments. Pattern Recogn Lett. 2013;46(8):2202–2219. doi: 10.1016/j.patcog.2013.01.033
   Web of Science ®Google Scholar
• Kaur B, Joshi G, Vig R. Analysis of shape recognition capability of Krawtchouk moments. International Conference on Computing, Communication & Automation (ICCCA); 2015. p. 1085–1090. doi: 10.1109/CCAA.2015.7148567
   Google Scholar
• Triesch J, Von der malsuburg C. Classification of hand postures against complex backgrounds using elastic graph matching. Image Vis Comput. 2002;20(13–14):937–943. doi: 10.1016/S0262-8856(02)00100-2
   Web of Science ®Google Scholar
• Xu X, Li A, Wang M. Prediction of human disease-associated phosphorylation sites with combined feature selection approach and support vector machine. IET Syst Biol. 2015;9(4):155–163. doi: 10.1049/iet-syb.2014.0051
   PubMed Web of Science ®Google Scholar
• Hall M. Correlation-based feature selection for machine learning [PhD dissertation]. Hamilton (NZ): The University of Waikato; April 1997.
   Google Scholar
• Zhang G, Ge H. Support vector machine with a Pearson VII function kernel for discriminating halophilic and non-halophilic proteins. Comp Biol Chem. 2013;46:16–22. doi: 10.1016/j.compbiolchem.2013.05.001
   PubMed Web of Science ®Google Scholar
• Huang GB, Zhou H, Ding X, et al. Extreme learning machine for regression and multiclass classification. IEEE Trans Syst Man Cybern B Cybern. 2012;42(2):513–529. doi: 10.1109/TSMCB.2011.2168604
   PubMed Web of Science ®Google Scholar
• Shalabi LA, Shaaban Z, Kasasbeh B. Data mining: a preprocessing engine. J Comp Sci. 2006;2(9):735–739. doi: 10.3844/jcssp.2006.735.739
   Google Scholar
• Just A, Rodriguez Y, Marcel S. Hand posture classification and recognition using the modified census transform. 7th International Conference on Automatic Face and Gesture Recognition; 2006. p. 351–356.
   Google Scholar
• Kelly D, McDonald J, Markham C. A person independent system for recognition of hand postures used in sign language. Pattern Recognit Lett. 2010;31(11):1359–1368. doi: 10.1016/j.patrec.2010.02.004
   Web of Science ®Google Scholar
• Dahmani D, Larabi S. User-independent system for sign language finger spelling recognition. J Vis Commun Image R. 2014;25(5):1240–1250. doi: 10.1016/j.jvcir.2013.12.019
   Web of Science ®Google Scholar
• Kaur B, Joshi G. Lower order Krawtchouk moment-based feature set for hand gesture recognition. Adv Hum Comput Interact. 2016;2016:1–10. doi: 10.1155/2016/6727806
   Web of Science ®Google Scholar