Study on Key Techniques of Dynamic Text Recognition System

摘要：

　　Key techniques on dynamic text recognition system are studied in this paper.Rectangularization algorithm is adopted for text localization.Vertical projection based on a priori knowledge is used to achieve twice character segmentation.Coarse mesh feature and 13-point features are used and support vector machine is adopted as the final classifier.A dynamic text recognition system is developed on the basis of those key techniques and can be used to logistics,banking,postal and other similar areas.

关键词： Dynamic text feature extraction text recognition

作者: Chengxin Yan

作者单位: College of Mechanical Engineering,China University of Petroleum,Qingdao 266555,China

会议类型: 国际会议

会议名称: 2018 3rd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2018) 2018第三届材料科学、机械与能源工程国际会议(MSMEE 2018)

会议地点: 太原

会议语种:英文

页码: 168-172

在线出版日期: 2018-06-29（万方平台首次上网日期，不代表论文的发表时间）