@inproceedings{scholars2783, year = {2012}, journal = {2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings}, pages = {538--542}, volume = {1}, note = {cited By 1; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334}, doi = {10.1109/ICCISci.2012.6297304}, address = {Kuala Lumpur}, title = {Hybrid algorithm for hand gesture recognition}, author = {Gupta, S. and Jaafar, J. and Wan Ahmad, W. F.}, isbn = {9781467319386}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867918864&doi=10.1109\%2fICCISci.2012.6297304&partnerID=40&md5=2b9ad47e8851bc0c44206d03efbdcf4a}, keywords = {Gabor filer; Hand-gesture recognition; Hybrid algorithms; Mel-frequency cepstral coefficients; Natural human computer interactions, Feature extraction; Gabor filters; Gesture recognition; Human computer interaction; Information science; Technology, Algorithms}, abstract = {Using gesture for interaction is a notion of natural human computer interaction. The use of gesture requires a correct identification of the intended pose by the system. Already numerous algorithms are working on it but not paying much attention on the complexity. Hence in this paper, a hybrid algorithm is being introduced to reduce the complexity of process also to make it insensitive with respect to the position of camera by making use of Gabor filer to get the structure of the hand followed by the Mel scaling in order to reduce the dimensions along with feature extraction using triangular filters. For the classification purpose Support vector machine has been used as a classifier. {\^A}{\copyright} 2012 IEEE.} }