BibTeX:

@article{IJIRSTV3I1003,
     title={Dynamic Hand Gesture Detection & Recognition System Using HSI, YCbCr & Morphology Method Using SVM},
     author={Hemlata Chavan and Mr. Prateek Gupta},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={1},
     pages={329--335},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I1003.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

During past few years, human hand gesture for interaction with computing devices has continues to be thriving area of research. Hand gesture Recognition system received great attention in recent years because it provides human computer interaction and sign language. Hand gesture recognition is containing three stages: Pre-Processing, Features Extraction, classification. Most current approaches is based on the static hand gesture recognition Hand gesture recognition is often too sensitive to poor resolution ,environment of background, occultation among other prevalent problems and recognition dynamic hand gesture. So, proposed work investigates dynamic hand gesture recognition using Conditional Random Field. Result shows dynamic hand gesture recognition under complex background and achieve better recognition rate.

Skin detection, HSI, YcbCr, Morphological, and Combine Approach