Fusion of Image Contour Moments and Fourier Descriptors for the Hand Gesture Recognition

Hai Long Lei; Sheng Yang

doi:10.4028/www.scientific.net/AMR.433-440.5188

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440Fusion of Image Contour Moments and Fourier...

Fusion of Image Contour Moments and Fourier Descriptors for the Hand Gesture Recognition

Abstract:

Hand is a highly variable organ and hand features are easily affected by environmental factors. Considering the characteristics of hand gesture, a novel hand gesture recognition algorithm based on hybrid moments is presented. First, According to the color cue, the hand shape is available to extract from the complicated background, then the contour moment invariant and Fourier Descriptor are extracted and fused into a hybrid feature, finally the hybrid feature are put into the BP network to identity. The experimental results show that the method has better robustness and higher recognition rate.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

5188-5192

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.5188

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Online since:

January 2012

Authors:

Hai Long Lei, Sheng Yang

Keywords:

BP Neural Network (BPNN), Fourier Descriptors, Hand Gesture Recognition, Moment Invariant

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References

[1] Ren Haibing, Zhu Yuanxin, Xu Guangyou. Complex background of gesture segmentation and recognition [J]. Electronics, 2000, 28 (02) : 256-261.

Google Scholar

[2] Jiang jian, Zhou Manli. A new man-machine interface-PUIS [J]. Computer Measurement and Control 2001, 9 (3) : 46-48.

Google Scholar

[3] He Yangqing, Ge Yuan, Application of geometric moments and edge detection of the gesture recognition algorithm [J]. Computer Engineering, 2005, 31 (15) : 165-174.

Google Scholar

[4] Liu Yin, Teng Xiaolong, Liu Chongqing . Fourier-based complex background gesture recognition depictors[J]. Computer Simulation, 2005, 22 (15) : 158-161.

Google Scholar

[5] Yang Yingjun, Xie Tingting. Based on skin color of face detection algorithm [J]. Beijing Broadcasting Institute of Technology (Natural Science), 2002, 9 (4) : 11-20.

Google Scholar

[6] Wang Songwei Hybrid feature extraction based on three-dimensional object recognition of confused [J]. Computer Measurement Control, 2008, 16 (7) : 1036-1039.

Google Scholar

[7] Chen Wenjing, Chen Feng CCD sampling process on Fourier transform profilometry measurement of [J]. Optoelectronics Laser, 2005, 16 (9) : 1074-1079.

Google Scholar

[8] Wang Tao, Liu Wenyin, Sun Jiaguang. Fourier depictors recognize shapes [J] Computer Research and Development, 2002, 39 (12) : 1714-1719.

Google Scholar

[9] Li Xueyong, Lu Changhou, Li Jianmei. Fusion of Outline Moment and the Fourier Descriptors for the Recognition of Pressed Characters [J]. Optoelectronics Laser, 2007, 18 (10) : 1244-1248.

Google Scholar