%0 Journal Article %1 Ranjan_2015 %A Ranjan, Anurag %A M.M, Jeevan %A Chaudhary, Pankaj %A S, Pavana Swaroopa %A S.KuzhalvaiMozhi, %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Computer Data Hand Histogram Human Image Neural Web cam clove computer gesture interaction network noise vision %N 4 %P 2377--2382 %R 10.17762/ijritcc2321-8169.1504130 %T Hand Gesture Recognition System Using Histogram and Neural Network %U http://dx.doi.org/10.17762/ijritcc2321-8169.1504130 %V 3 %X In this paper, consider the problem facing by distance between hand and the web cam and corresponding image noise in a Hand gesture recognition for human computer interaction (HCI) using a web cam.In this paper a survey of various recent hand gesture recognition systems background information is presented, along with key issues and major challenges of hand gesture recognition system are presented. In this paper consider histogram and neural network approaches for hand detection. At the end of this paper focus on different hand gesture approaches, algorithm, prototype model, technologies and its applications. The present approaches can be mainly divided into Data-Glove Based, Computer Vision Based approach and Drawing gesture. Hand gesture is a method of non-verbal communication for human beings. Using gesture applications human can interact with computer efficiently without any input devices.

@article{Ranjan_2015, abstract = {In this paper, consider the problem facing by distance between hand and the web cam and corresponding image noise in a Hand gesture recognition for human computer interaction (HCI) using a web cam.In this paper a survey of various recent hand gesture recognition systems background information is presented, along with key issues and major challenges of hand gesture recognition system are presented. In this paper consider histogram and neural network approaches for hand detection. At the end of this paper focus on different hand gesture approaches, algorithm, prototype model, technologies and its applications. The present approaches can be mainly divided into Data-Glove Based, Computer Vision Based approach and Drawing gesture. Hand gesture is a method of non-verbal communication for human beings. Using gesture applications human can interact with computer efficiently without any input devices.}, added-at = {2015-08-27T08:46:12.000+0200}, author = {Ranjan, Anurag and M.M, Jeevan and Chaudhary, Pankaj and S, Pavana Swaroopa and S.KuzhalvaiMozhi}, biburl = {https://www.bibsonomy.org/bibtex/2ec8f45c46918992f16e7d98ce0fae7ae/ijritcc}, doi = {10.17762/ijritcc2321-8169.1504130}, interhash = {fea0211a9f16e3be6530dc14ca655c08}, intrahash = {ec8f45c46918992f16e7d98ce0fae7ae}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Computer Data Hand Histogram Human Image Neural Web cam clove computer gesture interaction network noise vision}, month = {april}, number = 4, pages = {2377--2382}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-27T08:46:12.000+0200}, title = {Hand Gesture Recognition System Using Histogram and Neural Network}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.1504130}, volume = 3, year = 2015 }