Fused features mining for depth-based hand gesture recognition to classify blind human communication-Reference-Cited by-同舟云学术

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Fused features mining for depth-based hand gesture recognition to classify blind human communication

Published:2016-03-05 Issue:11 Volume:28 Page:3285-3294
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Jadooki Saba,Mohamad Dzulkifli,Saba Tanzila,Almazyad Abdulaziz S.,Rehman Amjad

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2244-5/fulltext.html

Reference30 articles.

1. Saba T, Almazyad AS, Rehman A (2015) Online versus offline arabic script classification. Neural Comput Appl. doi: 10.1007/s00521-015-2001-1

2. Soleimanizadeh S, Mohamad D, Saba T, Rehman A (2015) Recognition of partially occluded objects based on the three different color spaces (RGB, YCbCr, HSV). 3D Res 6(3):1–10. doi: 10.1007/s13319-015-0052-9

3. Han J, Shao L, Xu D, Shotton J (2013) Enhanced computer vision with Microsoft Kinect sensor: a review. IEEE Trans Cybern 43(5):1318–1334

4. Neamah K, Mohamad D, Saba T, Rehman A (2014) Discriminative features mining for offline handwritten signature verification. 3D Res. doi: 10.1007/s13319-013-0002-3

5. Muhsin ZF, Rehman A, Altameem A, Saba T, Uddin M (2014) Improved quadtree image segmentation approach to region information. Imaging Sci J 62(1):56–62. doi: 10.1179/1743131X13Y.0000000063

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