论文标题
手势识别愚蠢的人使用一个与所有神经网络的人
Hand Gesture Recognition of Dumb Person Using one Against All Neural Network
论文作者
论文摘要
我们提出了一种在现实世界环境中识别愚蠢人手势的新技术。在此技术中，预处理包含手势的手图像，然后通过将RGB颜色图像收敛到L.A.B颜色空间来分割。只有很少的统计功能用于将分段图像分类为不同的类。人工神经网络以依次的方式进行了序列训练。当系统受到训练时，它将能够以并行方式识别每个类别。提议的技术的结果比现有技术要好得多。
We propose a new technique for recognition of dumb person hand gesture in real world environment. In this technique, the hand image containing the gesture is preprocessed and then hand region is segmented by convergent the RGB color image to L.a.b color space. Only few statistical features are used to classify the segmented image to different classes. Artificial Neural Network is trained in sequential manner using one against all. When the system gets trained, it becomes capable of recognition of each class in parallel manner. The result of proposed technique is much better than existing techniques.
