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Documents",
        JOURNAL = SPLetters,
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@article{bb328765,
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        TITLE = "Word Segmentation Method for Handwritten Documents based on
Structured Learning",
        JOURNAL = SPLetters,
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        PAGES = "1161-1165",
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@article{bb328766,
        AUTHOR = "Ziran, Z. and Pic, X. and Undri Innocenti, S. and Mugnai, D. and Marinai, S.",
        TITLE = "Text alignment in early printed books combining deep learning and
dynamic programming",
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        YEAR = "2020",
        PAGES = "109-115",
        BIBSOURCE = "http://www.visionbib.com/bibliography/char1019.html#TT323092"}

@article{bb328767,
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        TITLE = "Text line extraction strategy for palm leaf manuscripts",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/char1019.html#TT323093"}

@inproceedings{bb328768,
        AUTHOR = "Mechi, O. and Mehri, M. and Ingold, R. and Ben Amara, N.E.",
        TITLE = "Combining Deep and Ad-hoc Solutions to Localize Text Lines in Ancient
Arabic Document Images",
        BOOKTITLE = ICPR21,
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        PAGES = "7759-7766",
        BIBSOURCE = "http://www.visionbib.com/bibliography/char1019.html#TT323094"}

@inproceedings{bb328769,
        AUTHOR = "Barakat, B.K. and Droby, A. and Alaasam, R. and Madi, B. and Rabaev, I. and Shammes, R. and El Sana, J.",
        TITLE = "Unsupervised deep learning for text line segmentation",
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        PAGES = "2304-2311",
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@inproceedings{bb328770,
        AUTHOR = "Barakat, B.K. and Droby, A. and Alaasam, R. and Madi, B. and Rabaev, I. and El Sana, J.",
        TITLE = "Text Line Extraction Using Fully Convolutional Network and Energy
Minimization",
        BOOKTITLE = PATRECH20,
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@inproceedings{bb328771,
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handwritten text line extraction",
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@inproceedings{bb328772,
        AUTHOR = "Murdock, M. and Reid, S. and Hamilton, B. and Reese, J.",
        TITLE = "ICDAR 2015 competition on text line detection in historical documents",
        BOOKTITLE = ICDAR15,
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@inproceedings{bb328773,
        AUTHOR = "Chen, K. and Wei, H. and Liwicki, M. and Hennebert, J. and Ingold, R.",
        TITLE = "Robust Text Line Segmentation for Historical Manuscript Images Using
Color and Texture",
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@inproceedings{bb328774,
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the Recognition of Handwritten Text-Lines",
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@inproceedings{bb328775,
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        TITLE = "Handwritten Line Detection via an EM Algorithm",
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@inproceedings{bb328776,
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@inproceedings{bb328777,
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        TITLE = "Using Scale-Space Anisotropic Smoothing for Text Line Extraction in
Historical Documents",
        BOOKTITLE = ICIAR14,
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@inproceedings{bb328778,
        AUTHOR = "Rabaev, I. and Biller, O. and El Sana, J. and Kedem, K. and Dinstein, I.",
        TITLE = "Text Line Detection in Corrupted and Damaged Historical Manuscripts",
        BOOKTITLE = ICDAR13,
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@inproceedings{bb328779,
        AUTHOR = "Baechler, M. and Liwicki, M. and Ingold, R.",
        TITLE = "Text Line Extraction Using DMLP Classifiers for Historical
Manuscripts",
        BOOKTITLE = ICDAR13,
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@inproceedings{bb328780,
        AUTHOR = "Moysset, B. and Kermorvant, C.",
        TITLE = "On the Evaluation of Handwritten Text Line Detection Algorithms",
        BOOKTITLE = ICDAR13,
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@inproceedings{bb328781,
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        TITLE = "Language Adaptive Methodology for Handwritten Text Line Segmentation",
        BOOKTITLE = CAIP13,
        YEAR = "2013",
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@inproceedings{bb328782,
        AUTHOR = "Salvi, D. and Zhou, J. and Waggoner, J.W. and Wang, S.",
        TITLE = "Handwritten text segmentation using average longest path algorithm",
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        YEAR = "2013",
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@inproceedings{bb328783,
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        TITLE = "A robust hybrid approach for text line segmentation in historical
documents",
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        YEAR = "2012",
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@inproceedings{bb328784,
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        TITLE = "A Multilevel Text-Line Segmentation Framework for Handwritten
Historical Documents",
        BOOKTITLE = FHR12,
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@inproceedings{bb328785,
        AUTHOR = "Chamchong, R. and Fung, C.C.",
        TITLE = "Text Line Extraction Using Adaptive Partial Projection for Palm Leaf
Manuscripts from Thailand",
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@inproceedings{bb328786,
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@inproceedings{bb328791,
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@inproceedings{bb328792,
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@inproceedings{bb328793,
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@inproceedings{bb328795,
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@inproceedings{bb328796,
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@inproceedings{bb328797,
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@inproceedings{bb328798,
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@inproceedings{bb328799,
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