Project Name:
Handwritten Chinese character recognition system based on image processing
Project background:
Handwritten Chinese character recognition is an important research topic in the field of pattern recognition and artificial intelligence. Different from letters, Chinese characters have complex structure and flexible stroke order, which brings great difficulty to recognition. In recent years, deep learning technology has made great progress in image processing, providing new ideas for handwritten Chinese character recognition.
Brief introduction of the project:
Using deep learning algorithm, this paper attempts to design and implement a recognition system that can automatically recognize and scan handwritten Chinese characters. The system is expected to achieve a certain accuracy of Chinese character recognition.
Project content:
1. Collect scanned image data set of handwritten Chinese characters
2. Learn image preprocessing methods
3. Design and train convolutional neural network models
4. Develop handwritten Chinese character recognition program
5. Test and identify system performance
Topic innovation:
1. Try to use deep learning method to realize Chinese character recognition
2. Explore ways to improve the model's handwriting recognition accuracy
Research objectives:
1. Master related knowledge of image processing and neural network model
2. Learn the process of designing and developing pattern recognition systems
3. Improve your ability to solve practical problems
This is an applied subject that combines computer vision and deep learning knowledge, aiming to develop students' data analysis and practical ability through a specific handwritten Chinese character recognition task. The specific content can be adjusted according to the student base.