Track 4 – Document Analysis, Biometrics and Pattern Recognition Applications

ThAM_IS

Track 4 – Document Analysis, Biometrics and Pattern Recognition Applications

Pattern Recognition progress, application and development

Pattern recognition is a key part in most machine intelligent systems, which based on the object observation to make a decision on object class attribution.

Pattern recognition could make computer understanding its environments like human being do. Along with the development of machine intelligence, pattern recognition is growing fast and successfully application in many areas such as computer vision, character recognition, etc.

Some information theory based methods for reaching the best recognition performance will be discussed.

Pattern recognition progress, current key problems, and the most important applications, Chinese and multilingual character recognition and face recognition are introduced in this talk.

 

模式识别是在大多数机器智能系统,基于对象的观察作出的对象类属性决定其中重要组成部分。

模式识别可以让计算机理解它的环境,如人做的。随着智能机的发展,模式识别正在快速增长,

并成功地应用在许多领域,如计算机视觉,文字识别等,为达到最佳的识别性能的一些信息理论

为基础的方法进行讨论。模式识别的进步,目前的关键问题,最重要的应用,中国和多语言文字

识别和人脸识别在这次谈话进行了介绍。