Vision-Based Text Segmentation System for Generic Display Units

The increasing use of display units in avionics motivate the need for vision-based text recognition systems to assist humans. The system for generic displays proposed in this paper includes some of the usual text recognition steps, namely localization, extraction and enhancement, and optical character recognition. The proposal has been fully developed and tested on a multi-display simulator. The commercial OCR module from Matrox Imaging Library has been used to validate the textual displays segmentation proposal.

[1]  O. Faugeras.  Three-dimensional computer vision: a geometric viewpoint , 1993 .

[2]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[3]  Josef Kittler,et al.  Minimum error thresholding , 1986, Pattern Recognit..

[4]  Jianhua Wang,et al.  A new calibration model of camera lens distortion , 2008, Pattern Recognit..

[5]  Fu Chang,et al.  Caption analysis and recognition for building video indexing systems , 2004, Multimedia Systems.

[6]  Chiuhsiang Joe Lin,et al.  Visual performance and fatigue in reading vibrating numeric displays , 2008, Displays.

[7]  Majid Ahmadi,et al.  A hidden Markov model-based character extraction method , 2008, Pattern Recognit..

[8]  Hong Yan,et al.  Character and line extraction from color map images using a multi-layer neural network , 1994, Pattern Recognit. Lett..

[9]  Amir Averbuch,et al.  Digital image thresholding, based on topological stable-state , 1996, Pattern Recognit..

[10]  Wenwen Li,et al.  Character segmentation of color images from digital camera , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[11]  Masatoshi Kimachi,et al.  Using Adaboost to Detect and Segment Characters from Natural Scenes , 2005 .

[12]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[13]  Anil K. Jain,et al.  Text information extraction in images and video: a survey , 2004, Pattern Recognit..

[14]  Gideon P. Stein,et al.  Lens distortion calibration using point correspondences , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[15]  Claes von Hofsten,et al.  Readability of vertically vibrating aircraft displays , 1999 .

[16]  Rainer Lienhart,et al.  Automatic text recognition in digital videos , 1995, Electronic Imaging.

[17]  Takeo Kanade,et al.  Video OCR: indexing digital news libraries by recognition of superimposed captions , 1999, Multimedia Systems.

[18]  Bülent Sankur,et al.  Survey over image thresholding techniques and quantitative performance evaluation , 2004, J. Electronic Imaging.

[19]  Gideon P. Stein.  Accurate internal camera calibration using rotation, with analysis of sources of error , 1995, Proceedings of IEEE International Conference on Computer Vision.

[20]  Jean-Michel Jolion,et al.  Extraction and recognition of artificial text in multimedia documents , 2003, Formal Pattern Analysis & Applications.

[21]  M L Mendelsohn,et al.  THE ANALYSIS OF CELL IMAGES * , 1966, Annals of the New York Academy of Sciences.