A Model-based Line Detection Algorithm in Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
A Parallel-Line Detection Algorithm Based on HMM Decoding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document analysis applied to fragments: feature set for the reconstruction of torn documents
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Automatic table detection in document images
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
CONTENTUS--technologies for next generation multimedia libraries
Multimedia Tools and Applications
Model-based ruling line detection in noisy handwritten documents
Pattern Recognition Letters
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Abstract: In this paper, a novel form frame line detection algorithm is proposed based on the Directional Single-Connected Chain (DSCC). Defined as an array of black pixel run-lengths, DSCC works very well as an image structure element or vector in our vectorization algorithm. By merging multiple DSCCs under some constraints, we are able to extract the form frame lines automatically yet fast. The speed of our algorithm is comparable with some well-known projection methods. Experiments show that our algorithm is fast, resistant to moderate serious line breaks and can detect diagonal lines with any angle.