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  • Umadevi K, Thakare K, Patil S, Raut R, Dwivedi A and Haldorai A. (2022). Dynamic hidden feature space detection of noisy image set by weight binarization. Signal, Image and Video Processing. 10.1007/s11760-022-02284-2. 17:3. (761-768). Online publication date: 1-Apr-2023.

    https://link.springer.com/10.1007/s11760-022-02284-2

  • Gold C and Zesch T. (2022). CNN-Based Ruled Line Removal in Handwritten Documents. Frontiers in Handwriting Recognition. 10.1007/978-3-031-21648-0_36. (530-544).

    https://link.springer.com/10.1007/978-3-031-21648-0_36

  • Patil R and Karandikar R. (2019). Digitization and Parameter Extraction of Preserved Paper Electrocardiogram Records. Immunological Tolerance. 10.1007/978-981-13-3600-3_46. (487-495).

    http://link.springer.com/10.1007/978-981-13-3600-3_46

  • Chen J, Lopresti D and Nagy G. (2016). Conservative preprocessing of document images. International Journal on Document Analysis and Recognition. 19:4. (321-333). Online publication date: 1-Dec-2016.

    https://doi.org/10.1007/s10032-016-0273-3

  • Cao H, Natarajan P, Peng X, Subramanian K, Belanger D and Li N. (2014). Progress in the Raytheon BBN Arabic Offline Handwriting Recognition System 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR). 10.1109/ICFHR.2014.99. 978-1-4799-4334-0. (555-560).

    http://ieeexplore.ieee.org/document/6981078/

  • Imtiaz S, Nagabhushan P and Gowda S. Rule Line Detection and Removal in Handwritten Text Images. Proceedings of the 2014 Fifth International Conference on Signal and Image Processing. (310-315).

    https://doi.org/10.1109/ICSIP.2014.55

  • Chen J and Lopresti D. Alternatives for Page Skew Compensation in Writer Identification. Proceedings of the 2013 12th International Conference on Document Analysis and Recognition. (927-931).

    https://doi.org/10.1109/ICDAR.2013.189

  • Prokopiou K, Kavallieratou E and Stamatatos E. (2013). An image processing self-training system for ruling line removal algorithms 2013 18th International Conference on Digital Signal Processing (DSP). 10.1109/ICDSP.2013.6622767. 978-1-4673-5807-1. (1-6).

    http://ieeexplore.ieee.org/document/6622767/

  • Chen J, Zhang B, Cao H, Prasad R and Natarajan P. Applying Discriminatively Optimized Feature Transform for HMM-based Off-Line Handwriting Recognition. Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition. (219-224).

    https://doi.org/10.1109/ICFHR.2012.182

  • Kumar J and Doermann D. Fast Rule-Line Removal Using Integral Images and Support Vector Machines. Proceedings of the 2011 International Conference on Document Analysis and Recognition. (584-588).

    https://doi.org/10.1109/ICDAR.2011.123

  • Chen J, Lopresti D and Lamiroy B. A real-world noisy unstructured handwritten notebook corpus for document image analysis research. Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data. (1-8).

    https://doi.org/10.1145/2034617.2034620

  • Shi Z, Setlur S and Govindaraju V. Removing Rule-Lines from Binary Handwritten Arabic Document Images Using Directional Local Profile. Proceedings of the 2010 20th International Conference on Pattern Recognition. (1916-1919).

    https://doi.org/10.1109/ICPR.2010.472