| dc.description.abstract | With the development of the times, the way of exchanging information is constantly changing, and the communication between people is becoming more and more convenient. People have transformed from the initial communication of letters to the use of mobile phones, tablets, computers and other tools. The Internet has not only changed the way people communicate, but also the traditional way of education. Unlimited online learning courses are becoming
more and more popular, and many digital learning platforms are also appearing in large numbers. People began to use mobile phones and tablet computers for learning, and smart pens began to be widely used. Learners use smart pens to
take notes or record knowledge on electronic devices. As more and more users abandon their past paper-and-pen assignments, and instead use smart pens for writing. Therefore, the handwriting recognition technology has become more and more important. For multilingual countries and regions, the number of handwritten documents in multiple languages and scripts is gradually increasing.
There are many mature handwriting recognition systems on the market, but they also have great limitations. The recognition in a single language has high accuracy, but there is still much room for improvement in the recognition of multilingual texts. Multi-script recognition in images is an important direction
for content-based image retrieval and multi-language system development. In a multi-language document, it is necessary to first detect the text area and identify the language type, find the text part written in the same language, and then put it into the recognition system of the specific language. In order to recognize more
and more handwritten documents in languages and scripts, and allow users to be unrestricted when writing documents. Therefore, in this project, we will strive to establish a system that can correctly recognize handwritten text in multiple languages. | en_US |