Robust Vanishing Point Detection for MobileCam-Based Documents

Xu-Cheng Yin, Hong-Wei Hao, Jun Sun, Satoshi Naoi
2011 2011 International Conference on Document Analysis and Recognition  
Document images captured by a mobile phone camera often have perspective distortions. In this paper, fast and robust vanishing point detection methods for such perspective documents are presented. Most of previous methods are either slow or unstable. Based on robust detection of text baselines and character tilt orientations, our proposed technology is fast and robust with the following features: (1) quick detection of vanishing point candidates by clustering and voting on the Gaussian sphere
more » ... ace; and (2) precise and efficient detection of the final vanishing points using a hybrid approach, which combines the results from clustering and projection analysis. The rectified image acceptance rate for MobileCam-based documents, signboards and posters is more than 98% with an average speed of about 100ms.
doi:10.1109/icdar.2011.36 dblp:conf/icdar/YinHSN11 fatcat:c65ajcmgafhyljlywkdcbkehxi