This work proposes a real time human hand gesture recognition system for human computer interaction. The proposed system can recognize 10 different hand gestures at faster rate with reasonable accuracy. The gestures are classified on the basis of shape-based features. Four different shape based features are used for better accuracy. The illumination compensation technique is employed for robust recognition under varying background lightning conditions. Skin color segmentation is used to minimize the chances of false detection. The proposed system is modeled using Verilog HDL and targeted for Xillinx Virtex2 Pro FPGA board. The accuracy of the system is computed as 94.40%.
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机译：这项工作提出了一种用于人类计算机互动的人类手势识别系统。所提出的系统可以以合理的准确度以更快的速度识别10种不同的手势。手势基于基于形状的特征来分类。四种不同的基于形状的特征用于更好的准确性。在不同背景闪电条件下采用照明补偿技术用于鲁棒识别。肤色分割用于最小化错误检测的机会。所提出的系统采用Verilog HDL建模，并针对XILLINX Virtex2 Pro FPGA板。系统的准确性计算为94.40％。
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