Novel Algorithm for Image Processing Based Hand Gesture Recognition and Its Application in Security

The concept of hand gesture recognition has been widely used in communication, artificial intelligence and robotics. It is a staple method of interaction especially for the deaf and the blind. Techniques for recognizing hand gestures are in great demand. Many algorithms have been discovered for this purpose, each of them having their own advantages and disadvantages. In this paper we present a novel algorithm for hand recognition using image processing and explore its application in security based systems. The algorithm was tested for different gestures on over 50 samples and an accuracy of 95.2% was achieved. In terms of speed, the algorithm is 1.5 times faster than its contemporaries. An alternative to finding the centroid based on a less computationally complex algorithm has also been explored. The algorithm was implemented in MATLAB programming language on MATLAB 7.13 build R2011b and SIMULINK.

[1]  Archana S. Ghotkar,et al.  Hand Segmentation Techniques to Hand Gesture Recognition for Natural Human Computer Interaction , 2012 .

[2]  Fan Chen,et al.  Hand Gesture Detection and Segmentation Based on Difference Background Image with Complex Background , 2008, 2008 International Conference on Embedded Software and Systems.

[3]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[4]  C. Saravanan,et al.  Color Image to Grayscale Image Conversion , 2010, 2010 Second International Conference on Computer Engineering and Applications.

[5]  Sharath Pankanti,et al.  Biometric Recognition: Security and Privacy Concerns , 2003, IEEE Secur. Priv..

[6]  P. Jonathon Phillips,et al.  An Introduction to Evaluating Biometric Systems , 2000, Computer.

[7]  Toshiaki Kondo,et al.  A simple shape-based approach to hand gesture recognition , 2010, ECTI-CON2010: The 2010 ECTI International Confernce on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[8]  Bir Bhanu,et al.  Fingerprint Indexing Based on Novel Features of Minutiae Triplets , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  B. V. K. Vijaya Kumar,et al.  Spatial frequency domain image processing for biometric recognition , 2002, Proceedings. International Conference on Image Processing.

[10]  Jong Gook Ko,et al.  Biometrics Security Scheme for Privacy Protection , 2008, 2008 Advanced Software Engineering and Its Applications.

[11]  Pedro Cano,et al.  A review of algorithms for audio fingerprinting , 2002, 2002 IEEE Workshop on Multimedia Signal Processing..

[12]  Nalini K. Ratha,et al.  Enhancing security and privacy in biometrics-based authentication systems , 2001, IBM Syst. J..

[13]  Claus Vielhauer.  Biometric User Authentication for it Security - From Fundamentals to Handwriting , 2006, Advances in Information Security.

[14]  Alex Pentland,et al.  Real-time American Sign Language recognition from video using hidden Markov models , 1995 .