Download PDFOpen PDF in browserRobust Gait Recognition Technique Using Neural Network10 pages•Published: August 5, 2017AbstractWith the increase in the number of thefts, robberies and encroaching in the world, the existing security system is not sufficient. Hence to circumvent this problem the demand of bio-metric systems is increased, as they provide more dependable and effective means of identity confirmation. One such bio-metric security that has seen an uproar in the recent years is the gait identification. Gait recognition targets fundamentally to address this problem by recognizing people based on the way they walk. First of all, silhouette of the persons is extracted. Moreover, step size of the person is considered as unique feature for representing gait and effectively classify the person based on gait. Finally, features are feed to neural network for classification. The proposed approach gives better accuracy.Keyphrases: bio metrics, computer vision, gait recognition, security, step length In: Ajitkumar Shukla, J. M. Patel, P. D. Solanki, K. B. Judal, R. K. Shukla, R. A. Thakkar, N. P. Gajjar, N. J. Kothari, Sukanta Saha, S. K. Joshi, Sanjay R. Joshi, Pranav Darji, Sanjay Dambhare, Bhupendra R. Parekh, P. M. George, Amit M. Trivedi, T. D. Pawar, Mehul B. Shah, Vinay J. Patel, Mehfuza S. Holia, Rashesh P. Mehta, Jagdish M. Rathod, Bhargav C. Goradiya and Dharita K. Patel (editors). ICRISET2017. International Conference on Research and Innovations in Science, Engineering and Technology. Selected Papers in Engineering, vol 1, pages 418-427.
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