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Apparatus for recognition of handwritten Chinese characters

机译:手写汉字识别装置

摘要

Apparatus for recognition of handwritten Chinese characters contains a bus, an input means connecting to the bus for receiving input imagery data created from a handwritten Chinese character, a Cellular Neural Networks or Cellular Nonlinear Networks (CNN) based integrated circuit operatively connecting to the bus for extracting features out of the input imagery data using pre-trained filter coefficients of a plurality of order convolutional layers stored therein, a memory connecting the bus, the memory being configured for storing weight coefficients of fully-connected (FC) layers, a processing unit connecting to the bus for performing computations of FC layers to classify the extracted features from the CNN based integrated circuit to a particular Chinese character in a predefined Chinese character set, and a display unit connecting to the bus for displaying the particular Chinese character. Greater than 95% recognition accuracy is achieved using multiple bi-valued 3×3 filter kernels as pre-trained filter coefficients.
机译:用于识别手写汉字的设备包括总线,连接到该总线以接收从手写汉字创建的输入图像数据的输入装置,可操作地连接到该总线的基于蜂窝神经网络或蜂窝非线性网络(CNN)的集成电路。使用存储在其中的多个阶卷积层的预训练滤波器系数从输入图像数据中提取特征,连接总线的存储器,配置为存储全连接(FC)层的权重系数的存储器,处理单元连接到总线以执行FC层的计算以将基于CNN的集成电路提取的特征分类为预定义汉字集中的特定汉字,以及显示单元连接到总线以显示特定汉字。使用多个双值3×3滤波器内核作为预训练的滤波器系数,可以达到95%以上的识别精度。

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