Research and Implementation of Handwritten Chinese Character Recognition Based on Deep Learning Algorithm

Computer Science

• Character Recognition 100%
• Deep Learning Method 100%
• VGG-19 Convolutional Neural Network 50%
• Single Character 33%
• Experimental Result 16%
• Recognition Accuracy 16%
• Computational Resource 16%
• Problem Analysis 16%
• Training Data 16%
• Image Classification 16%
• Object Detection 16%
• Image Segmentation 16%
• Data Preprocessing 16%
• Deep Learning Model 16%
• Widespread Application 16%
• Convolutional Neural Network 16%
• User Interface Design 16%
• Basic Framework 16%
• Interaction Design 16%
• Training Cycle 16%

Keyphrases

• Handwritten Chinese Character Recognition 100%
• Single Character 66%
• EfficientNetV2 Model 66%
• VGG19 Model 66%
• Deep Learning in Character Recognition 33%
• Classification Segmentation 33%
• Training Accuracy 33%
• Data Collection Model 33%
• Computational Constraints 33%
• Limited Training Data 33%
• EfficientNetV2 33%