A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Engineering drawing processing and vectorization system
Computer Vision, Graphics, and Image Processing
Interpretation of telephone system manhole drawings
Pattern Recognition Letters
A Generic System for Form Dropout
IEEE Transactions on Pattern Analysis and Machine Intelligence
A protocol for performance evaluation of line detection algorithms
Machine Vision and Applications - Special issue on performance evaluation
Orthogonal Zig-Zag: an algorithm for vectorizing engineering drawings compared with Hough Transform
Advances in Engineering Software
INFORMys: A Flexible Invoice-Like Form-Reader System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sparse Pixel Vectorization: An Algorithm and Its Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Empirical Performance Evaluation of Graphics Recognition Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust detection of lines using the progressive probabilistic Hough transform
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
A Benchmark: Performance Evaluation of Dashed-Line Detection Algorithms
Selected Papers from the First International Workshop on Graphics Recognition, Methods and Applications
Quantitative Measurement of the Performance of Raster-to-Vector Conversion Algorithms
Selected Papers from the First International Workshop on Graphics Recognition, Methods and Applications
Detection of Horizontal Lines in Noisy Run Length Encoded Images: The FAST Method
Selected Papers from the First International Workshop on Graphics Recognition, Methods and Applications
Line Removal and Restoration of Handwritten Characters on the Form Documents
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Finding straight lines in drawings
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
The Recognition of Form Documents Based on Three Types of Line Segments
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Description and recognition of form and automated form data entry
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Robust table-form structure analysis based on box-driven reasoning
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Form Frame Line Detection with Directional Single-Connected Chain
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
A Parallel-Line Detection Algorithm Based on HMM Decoding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Line Removal and Restoration of Handwritten Strokes
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 03
Preprocessing of Low-Quality Handwritten Documents Using Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
A stroke regeneration method for cleaning rule-lines in handwritten document images
Proceedings of the International Workshop on Multilingual OCR
Page Rule-Line Removal Using Linear Subspaces in Monochromatic Handwritten Arabic Documents
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
A Model-Based Ruling Line Detection Algorithm for Noisy Handwritten Documents
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Fast Rule-Line Removal Using Integral Images and Support Vector Machines
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
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Ruling lines are commonly used to help people write neatly on paper. In document analysis, however, they raise hurdles for the tasks of handwriting recognition or writer identification. In this paper, we model ruling line detection as a multi-line linear regression problem and then derive a globally optimal solution under the Least Squares Error. For performance evaluation, we compute the error statistics on the model attributes and also employ human correction of algorithmic results for performance evaluation, instead of using pixel-level performance measures. We demonstrate the effectiveness of our method on three datasets, including modern and historic document images. Specifically, we obtained 95% accuracy in detecting ruling lines in a modern handwriting dataset with 100 documents. Under an interactive evaluation framework, the new algorithm showed performance gains over one existing approach.