![]() The Monk Line Segmentation (MLS) DatasetOlarik Surinta, Lambert Schomaker, and Marco WieringInstitution of Artificial Intelligence and Cognitive Engineering (ALICE) Autonomous Perceptive Systems (APS), University of Groningen |
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OverviewThe MLS dataset available from this page consists of 31 handwritten page scans. The dataset contains medieval, historical and contemporary manuscripts, and has the purpose of testing line-segmentation algorithms. The collection contains a wide variation of the common problems in handwriting recognition: lines with overlapping ascenders/descenders, slightly rotated scans and curved base lines.Try our [ Monk search engine] here.
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DownloadThe MLS dataset was collected from the Monk system as of Friday May 17 14:15:04 CEST 2013. It was collected by Lambert Schomaker in May 2013 at the Institution of Artificial Intelligence and Cognitive Engineering (ALICE), University of Gronigen.The tar.gz file contains the image dataset for historical manuscripts. For more details please refer to the README file in the tar.gz file. The dataset downloaded for research use only. © 2013 Copyright. Download tar.gz file (58.9 MB) from ai.rug.nl |
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CitationIf you use this dataset please cite the following work:
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Related Publication |
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Results of A* Path Planning for line segmentation of Handwritten documents![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
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Other datasetThe ALICE Off-line Thai Handwritten Character (ALICE-THI) Dataset |