Design And Implementation Of System Of Tables With Handwritten Content

With the development of computer hardware, and the constant improvement of artificial intelligence, more and more simple and repetitive mental work begins to be replaced by computers. As the result, it not only improves the work efficiency greatly, but also helps people to get rid of dull mental work. For there are still many documents of handwritten tables which need to be input computers manually, a input system of handwritten tables is designed under the theories of mathematical morphology and pattern recognition in this paper. This system can automatically analyze variety of papers, documents, questionnaires and then submits them into computer. Through this system, the efficiency of statistical work can be significantly improved and the input of human resources can be reduced.The system is designed by the modular principle and it will become a platform for recognition of different types of files by the combination of different modules. The information inputting has three steps: first, system will prepossess the scanned pictures to remove the noise and interference, and to stress the useful information; second, the table structure will be extracted and the location information of table cells will be get, the images for recognition will be output according to the cells which they belong to; third, the images will be recognized by the structure recognition methods and then be input into computers, different character sets will have different structure recognition methods, at the same time the system will throw out the ambiguous characters for artificial recognition.The experiment shows that the input system of handwritten tables can find the statistical information and recognize it accurately and effectively, the recognition rate of the system can meet the application requirements. If the system works with the office All-in-Ones printers which can batch-scan documents quickly, it can be used for variety handwritten tables recognition, the information input efficiency will be improved obviously and more human resources will be saved.