Bayesian classifier for multi-oriented video text recognition system
作者：
Highlights：
• A new system for recognizing text in video through binarization.
• Exploring wavelet and gradient sub-bands for enhancing text information.
• Introducing Bayesian classifier in novel way for binarization.
• Use of connected component analysis for restoring missing information.
• Experimental results on both video and scene text shows the method is superior.
摘要
•A new system for recognizing text in video through binarization.•Exploring wavelet and gradient sub-bands for enhancing text information.•Introducing Bayesian classifier in novel way for binarization.•Use of connected component analysis for restoring missing information.•Experimental results on both video and scene text shows the method is superior.
论文关键词：Wavelet and gradient sub-bands,Bayesian classifier,Video text lines,Video text binarization,Video text recognition
论文评审过程：Available online 14 March 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.02.030
