Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 246-249.

• Pattern Recognition & Image Processing • Previous Articles     Next Articles

Gesture Recognition Based on Hand Geometric Distribution Feature

HAN Xiao, ZHANG Jing, LI Yue-long   

  1. School of Computer Science and Software,Tianjin Polytechnic University,Tianjin 300387,China
  • Online:2019-06-14 Published:2019-07-02

Abstract: Aiming at the problem that gestures are affected by scaling and rotation,resulting in low recognition rate,this paper proposed a feature extraction method based on hand geometric distribution for gesture recognition.Firstly,the segmented gesture image is normalized.Secondly,width-to-length ratio of the minimum circumscribed rectangle of gesture main direction and gesture contour is calculated,and the similarity function is used as preliminary recognition to select some candidate gestures.Finally,contour segmentation method is used to estimate the distribution of gesture contour points in polar coordinates and the modified Hausdorff distance is used as a similarity measure method to identify the final gesture.The experimental results show that the proposed method can identify various gestures quickly and accurately,the average recognition rate reaches 92.89%,the false recognition rate is reduced to 3.53%,and the recognition speed is 4.2 times higher than that of similar algorithms.

Key words: Gesture main direction, Geometric distribution, Feature extraction, Contour segmentation, Modified Hausdorff distance, Gesture recognition

CLC Number: 

  • TP391
[1] 易靖国,程江华,库锡树.视觉手势识别综述[J].计算机科学,2016,43(S1):103-108.
[2] 胡卫谊.基于动态手势的人机交互系统研究[D].武汉:武汉理工大学,2010.
[3] YANG C J,HAN D K,KO H.Continuous hand gesture recogni-tion based on trajectory shape information[J].Pattern Recognition Letters,2017,99(1):39-47.
[4] LI C,XIE C Y,ZHANG B C,et al.Deep Fisher discriminant learning for mobile hand gesture recognition[J].Pattern Recognition,2018,77:276-288.
[5] LI Y,WANG X G,LIU W Y,et al.Deep attention network for joint hand gesture localization and recognition using static RGB-D images[J].Information Sciences,2018,441:66-78.
[6] 余问鼎,刘春,邵雄凯.基于手指几何特征的移动设备视觉手势识别研究[J].黄冈师范学院学报,2015,35(6):74-79.
[7] 巫康伟,袁明新,葛玉婷,等.一种联合几何特征和隐马尔可夫模型的手势识别算法[J].自动化技术与用,2017,36(6):108-111.
[8] 郭桂旭,惠斌,冯剑.基于改进Hausdorff距离的分层景象匹配算法[J].计算机应用研究,2014,31(12):3837-3840.
[9] SHU X,WU X J.A novel contour descriptor for 2D shape matching and its application to image retrieval[J].Image and Vision Computing,2011,29(4):286-294.
[10] MEMO A,MINTO L,ZANUTTIGH P.Exploiting Silhouette Descriptors and Synthetic Data for Hand Gesture Recognition[M].The Eurographics Association,2015.
[11] MEMO A,ZANUTTIGH P.Head-mounted gesture controlled interface for human-computer interaction[J].Multimedia Tools and Applications,2018,77(1):27-53.
[12] 文芳,康彩琴,陈立文.等.基于RGBD数据的静态手势识别[J].计算机与现代化,2018(1):74-77.
[13] 王艳,徐诗艺,谌海云.基于特征距离加权的手势识别[J].计算机科学,2017,44(S1):220-223.
[14] 林水强,吴亚东,陈永辉.基于几何特征的手势识别方法[J].计算机工程与设计,2014,35(2):636-640.
[1] LIU Yang, JIN Zhong. Fine-grained Image Recognition Method Combining with Non-local and Multi-region Attention Mechanism [J]. Computer Science, 2021, 48(1): 197-203.
[2] BAO Yu-xuan, LU Tian-liang, DU Yan-hui. Overview of Deepfake Video Detection Technology [J]. Computer Science, 2020, 47(9): 283-292.
[3] WANG Liang, ZHOU Xin-zhi, YNA Hua. Real-time SIFT Algorithm Based on GPU [J]. Computer Science, 2020, 47(8): 105-111.
[4] LIANG Zheng-you, HE Jing-lin, SUN Yu. Three-dimensional Convolutional Neural Network Evolution Method for Facial Micro-expression Auto-recognition [J]. Computer Science, 2020, 47(8): 227-232.
[5] LIU Xiao, YUAN Guan, ZHANG Yan-mei, YAN Qiu-yan, WANG Zhi-xiao. Hand Gesture Recognition Based on Self-adaptive Multi-classifiers Fusion [J]. Computer Science, 2020, 47(7): 103-110.
[6] YANG Wei-chao, GUO Yuan-bo, LI Tao, ZHU Ben-quan. Method Based on Traffic Fingerprint for IoT Device Identification and IoT Security Model [J]. Computer Science, 2020, 47(7): 299-306.
[7] LAN Zhang-li, SHEN De-xing, CAO Juan and ZHANG Yu-xin. Content-independent Method for Basis Image Extraction and Image Reconstruction [J]. Computer Science, 2020, 47(6A): 226-229.
[8] ZHOU Li-peng, MENG Li-min, ZHOU Lei, JIANG Wei and DONG Jian-ping. Fall Detection Algorithm Based on BP Neural Network [J]. Computer Science, 2020, 47(6A): 242-246.
[9] YUAN De-yu, ZHANG Yi-fan, GAO Jian and SUN Hai-chun. Abnormal User Detection Method in Sina Weibo Based on User Feature Extraction [J]. Computer Science, 2020, 47(6A): 364-368.
[10] JING Yu, QI Rui-hua, LIU Jian-xin, LIU Zhao-xia. Gesture Recognition Algorithm Based on Improved Multiscale Deep Convolutional Neural Network [J]. Computer Science, 2020, 47(6): 180-183.
[11] DENG Yi-jiao, ZHANG Feng-li, CHEN Xue-qin, AI Qing, YU Su-zhe. Collaborative Attention Network Model for Cross-modal Retrieval [J]. Computer Science, 2020, 47(4): 54-59.
[12] ZHAO Nan, PI Wen-chao, XU Chang-qiao. Video Recommendation Algorithm for Multidimensional Feature Analysis and Filtering [J]. Computer Science, 2020, 47(4): 103-107.
[13] WANG Kun-lun, LIU Wen-can, HE Xiao-hai, QING Lin-bo, WU Xiao-hong. Motion Feature Descriptor for Abnormal Behavior Detection [J]. Computer Science, 2020, 47(4): 119-124.
[14] CHEN Li-fu,LIU Yan-zhi,ZHANG Peng,YUAN Zhi-hui,XING Xue-min. Road Extraction Algorithm of Multi-feature High-resolution SAR Image Based on Multi-Path RefineNet [J]. Computer Science, 2020, 47(3): 156-161.
[15] HE Chao-lei,BI Xiu-li,XIAO Bin. Zernike Moment Based Approach for Local Feature Detection [J]. Computer Science, 2020, 47(2): 135-142.
Full text



[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75 .
[2] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[3] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[4] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[5] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99 .
[6] ZHOU Yan-ping and YE Qiao-lin. L1-norm Distance Based Least Squares Twin Support Vector Machine[J]. Computer Science, 2018, 45(4): 100 -105 .
[7] LIU Bo-yi, TANG Xiang-yan and CHENG Jie-ren. Recognition Method for Corn Borer Based on Templates Matching in Muliple Growth Periods[J]. Computer Science, 2018, 45(4): 106 -111 .
[8] GENG Hai-jun, SHI Xin-gang, WANG Zhi-liang, YIN Xia and YIN Shao-ping. Energy-efficient Intra-domain Routing Algorithm Based on Directed Acyclic Graph[J]. Computer Science, 2018, 45(4): 112 -116 .
[9] CUI Qiong, LI Jian-hua, WANG Hong and NAN Ming-li. Resilience Analysis Model of Networked Command Information System Based on Node Repairability[J]. Computer Science, 2018, 45(4): 117 -121 .
[10] WANG Zhen-chao, HOU Huan-huan and LIAN Rui. Path Optimization Scheme for Restraining Degree of Disorder in CMT[J]. Computer Science, 2018, 45(4): 122 -125 .