Robust Vanishing Point Detection for MobileCam-Based Documents

—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 space; 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. Keywords-Vanishing point detection, Perspective document rectification, clustering, MobileCam-based documents, the Gaussian sphere

• Type: Journal
• Year: 2011
• Where: ICDAR
• Authors: Xu-Cheng Yin, Hong-Wei Hao, Jun Sun 0004, Satoshi Naoi
• Keywords: Document Analysis, Gaussian Sphere, ICDAR 2011, Perspective Distortions, Robust Detection