A System of Convolutional Neural Networks Based Handwritten Number Recognition

In recent years, Convolutional Neural Network (CNN) has been successfully used in the field of image classification and recognition. In this paper, based on the QT development framework, we designed and implemented a handwritten numeral recognition system based on CNN in Linux environment. The proposed system can be easily transplanted on various embedded devices. The test results show that the system has good recognition effect.