Continuously variable duration hidden Markov models for automatic speech recognition
Computer Speech and Language
A survey of the Hough transform
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
INFORMys: A Flexible Invoice-Like Form-Reader System
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Automatic Closed-Loop Methodology for Generating Character Groundtruth for Scanned Documents
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
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Benchmark: Performance Evaluation of Dashed-Line Detection 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
How to Win a Dashed Line Detection Contest
Selected Papers from the First International Workshop on Graphics Recognition, Methods and Applications
Finding straight lines in drawings
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
Robust and Accurate Vectorization of Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic categorization of figures in scientific documents
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
On Straight Line Segment Detection
Journal of Mathematical Imaging and Vision
On-line Arabic handwriting recognition system based on visual encoding and genetic algorithm
Engineering Applications of Artificial Intelligence
Hybrid intelligent vision-based car-like vehicle backing systems design
Expert Systems with Applications: An International Journal
A novel Hough transform method for line detection by enhancing accumulator array
Pattern Recognition Letters
EDLines: A real-time line segment detector with a false detection control
Pattern Recognition Letters
On the use of computer vision for numismatic research
VAST'08 Proceedings of the 9th International conference on Virtual Reality, Archaeology and Cultural Heritage
Model-based ruling line detection in noisy handwritten documents
Pattern Recognition Letters
A novel figure panel classification and extraction method for document image understanding
International Journal of Data Mining and Bioinformatics
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The detection of groups of parallel lines is important in applications such as form processing and text (handwriting) extraction from rule lined paper. These tasks can be very challenging in degraded documents where the lines are severely broken. In this paper, we propose a novel model-based method which incorporates high-level context to detect these lines. After preprocessing (such as skew correction and text filtering), we use trained Hidden Markov Models (HMM) to locate the optimal positions of all lines simultaneously on the horizontal or vertical projection profiles, based on the Viterbi decoding. The algorithm is trainable so it can be easily adapted to different application scenarios. The experiments conducted on known form processing and rule line detection show our method is robust, and achieves better results than other widely used line detection methods.