International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)

Published By: MECS Press

IJIGSP Vol.9, No.2, Feb. 2017

Implementation of Hand Sign Recognition for Non-Linear Dimensionality Reduction based on PCA

Full Text (PDF, 964KB), PP.37-45

Views:67   Downloads:0


Shilpa Sharma, Rachna Manchanda

Index Terms

Gesture recognition;gesture description;Human-machine interface;features extraction;PCA


Hand Sign or gesture recognition is the way of communication for hearing and speech impaired people. Gestures are formed from motion of body or state but commonly initiate from the hand and face. Speech and gestures are the expressions; these are the communication medium between human beings. Hand gesture is movement or motion of human hand. Gesture recognition is mathematical interpretation of human hand by using computing devices. There are different sign languages used in all over world and have its own grammar structure. Even in India has different languages used in every state, sign languages has little difference in contra dictionary region. Hand sign recognition is used for robot control applications and sign language interpretation. 

Cite This Paper

Shilpa Sharma, Rachna Manchanda,"Implementation of Hand Sign Recognition for Non-Linear Dimensionality Reduction based on PCA", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.2, pp.37-45, 2017.DOI: 10.5815/ijigsp.2017.02.05


[1]Shreyashi Narayan Sawant, M.S. Kumbhar, "Real Time Sign Language Recognition using PCA." 2014 IEEE International Conference on Advanced Communication Control and Computing Technologies (lCACCCT).

[2]Hieroomi Hikawa and Keishi Kaida, "FPGA implementation of hand gesture recognition with SOM-HEBB classifier." IEEE Transactions on circuits and systems for video technology, Vol. 25, No.1, January 2015.

[3]Amarjot Singh et al, "Autonomous Multiple Gesture Recognition system for disabled people." I.J. Image, Graphics and signal processing 2, 39-45, 2014 in MECS.

[4]Swapnil V.Ghorpade, Sagar A.Patil, Anmol B.Gore, Govind A.Pawar, "Hand gesture recognition system for Daily information retrieval." International Journal of Innovative research in computer and communication Engineering, Vol. 2, and Issue 3 in March 2014.

[5]Monuri Hemantha et al, "Simulation of Real Time Hand Gesture Recognition for physically impaired." International journal of Advanced Research in computer and communication Engineering Vol. 2, issue 11, November 2013.

[6]Krishnakant C.Mule et al, "Hand Gesture Recognition using PCA and Histogram Projection." International Journal on Advanced Computer Theory and Engineering (IJACTE). Vol. 2, Issue 2, 2013.

[7]Rafiqul Zaman Khan and Noor Adnan Ibraheem, "Comparative study of hand gesture recognition system." Computer science and information technology pp.203-213, 2012.

[8]Rafiqul Zaman Khan and Noor Adnan Ibraheem, "Survey on gesture recognition for hand image postures." Computer and information science Vol.5, No.3, may 2012.

[9]Siddharth S. Rautaray, Anupam Agarwal, "Real time hand gesture recognition for dynamic applications" International journal of Unicomp (IJU), Vol.3, No.1, January 2012.

[10]Sanjay Singh et al, "Real-Time FPGA based Implementation of color image Edge detection." I.J. Image, Graphics and signal processing 12, 19-25, 2012 in MECS.

[11]Cem Keskin, Ali Taylan Cemgil, and Lale Akarun, "DTW Based Clustering to Improve Hand Gesture Recognition." Springer-Verlag Berlin Heidelberg pp. 72-81 2011.

[12]Bhavina Patel, Vandana Shah, Ravindra Kshirsagar, "Microcontroller based Gesture Recognition system for the handicap people." Journal of Engineering research and studies, vol2, issue 4, 2011.

[13]Ruiduo Yang, Sudeep Sarkar et al, " Handling movement Epenthesis and Hand Segmentation Ambiguities in continuous Sign Language Recognition using Nested Dynamic Programming." IEEE Transactions on Pattern Analysis and machine intelligence, Vol. 32, No. 3, March 2010.

[14]Pragati Garg, Naveen Aggarwal and Sanjeev Sofat, "Vision Based Hand Gesture Recognition." International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol3, No1, 2009.

[15]S.S. Ge *, Y. Yang and T.H. Lee :Hand gesture recognition and tracking based on distributed locally linear embedding. Image and Vision Computing 26 (2008) 1607–1620.

[16]Jonathan Alon, Vassilis Athitsos, Quan Yuan, and Stan Sclaroff, "Simultaneous Localization and Recognition of Dynamic Hand Gestures." IEEE Workshop on Motion and Video Computing, Jan. 2005.