finger type classification from depth image

Journal of Emerging Technologies in Web Intelligence (JETWI) 2(1):56–64 Gutub AA (2010) Pixel indicator technique for RGB image steganography. ĭalal N, Triggs B Histograms of oriented gradients for human detection (2005) International Conference on Computer Vision & Pattern Recognition (CVPR'05), San Diego, CA, USA, 20-26 June 2005 IEEE Computer Society, vol. Accessed on ĭahmani D, Larabi S (2014) User-independent system for sign language finger spelling recognition. Ĭhang CC, Lin CJ (2001) LIBSVM: a library for support vector machines. Intelligent Industrial Systems 2(2):179–191. 2017īadi H (2016) A survey on recent vision-based gesture recognition. Īl-Otaibi NA, Gutub AA (2014) 2-Leyer security system for hiding sensitive text data on personal computers. Scientific Modelling and Research 2(1):9–18. Journal of Research in Engineering and Applied Sciences (JREAS) 2(2):50–58Īlharthi N, Gutub A (2017) Data visualization to explore improving decision-making within hajj services. The results show that the presented framework is efficient, easy implementation, and performs better than the compared approaches.Īlassaf N, Alkazemi B, Gutub A (2017) Applicable light-weight cryptography to secure medical data in IoT systems. The experiments are executed on a public fingerspelling dataset, which consisted of 120,000 images representing 24 alphabet letters over five different users. Discriminative features extracted from Histogram of Oriented Gradients (HOG), Local Binary Patterns (LBP), and Zernike moments are used due to their simplicity and good performance. Based on the segmentation step, a recognition framework using intensity and depth information is proposed and compared with some distinctive works. At first an adaptive k-means based cluster method for depth segmentation is proposed, where a flexible cluster number n is used instead of the pre-defined definitive one. In this study, the presented work focus on developing a real-time translation framework of static fingerspelling alphabets. In Sign Language fingerspelling systems, letters of the alphabet are presented by a diverse form or/and movement of the fingers.

Finger type classification from depth image