Arabic sign language continuous sentences recognition using PCNN and graph matching

被引：0
作者：
M. F. Tolba
Ahmed Samir
Magdy Aboul-Ela
机构：
[1] Ain Shams University,Scientific Computing Department, Faculty of Computer and Information Sciences
[2] Sadat Academy for Management Sciences,undefined
来源：
Neural Computing and Applications | 2013年 / 23卷
关键词：
Sign language; Gesture; Posture; Arabic Sign Language Recognition (ASLR); Pulse-coupled neural network (PCNN); Graph matching; Graph isomorphism and sub-graph;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Many previous researchers have tried developing sign languages recognition systems in general and Arabic sign language specifically. They succeeded to achieve acceptable results for isolated gestures level, but none of them investigated the recognition of connected sequence of gestures. This paper focuses on how to recognize real-time connected sequence of gestures using graph-matching technique, also how the continuous input gestures are segmented and classified. Graphs are a general and powerful data structure useful for the representation of various objects and concepts. This work is a component of a real-time Arabic Sign Language Recognition system that applied pulse-coupled neural network for static posture recognition in its first phase. This work can be adapted and applied to different sign languages and other recognition problems.
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页码：999 / 1010
页数：11
相关论文
共 25 条
[1]  
Chao M-W(2011)A graph-based shape matching scheme for 3D articulated objects Comput Animat Virtual Worlds 22 295-305
[2]  
Lin C-H(2011)Design pattern mining using greedy algorithm for multi-labelled graphs Int J Inf Commun Technol 3 314-323
[3]  
Chang C–C(2003)Hand gesture recognition using a real-time tracking method and hidden Markov models Image Vis Comput 21 745-758
[4]  
Lee T-Y(2001)Automatic recognition of arabic sign language finger spelling Int J Comput Their Appl 8 80-88
[5]  
Gupta M(2005)Recognition of Arabic sign language alphabet using polynomial classifiers EURASIP J Appl Signal Process Soc 13 2136-2145
[6]  
Chen F-S(2010)Image signature improving by PCNN for Arabic sign language recognition Can J Artif Intell Mach Learn Pattern Recogn 1 1-6
[7]  
Fu C-M(1990)Feature linking via synchronization among distributed assemblies: simulations of results from cat visual cortex Neural Comput 2 293-307
[8]  
Huang C-L(2000)Pulse image processing using centripetal autowaves Proc SPIE 4052 278-284
[9]  
Al-Rousan M(1999)A decision tree approach to graph and subgraph isomorphism detection Pattern Recogn 32 1979-1998
[10]  
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