3260 papers • 126 benchmarks • 313 datasets
Handwritten Line Segmentation from Document Images.
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A new dataset for offline Handwritten Text Recognition (HTR) from images of Bangla scripts comprising words, lines, and document-level annotations, and a scheme to segment Bangla handwritten document images into corresponding lines in an unsupervised manner is introduced.
This paper presents an extended version of the BN-HTRd dataset comprising 786 full-page handwritten Bangla document images, line and word-level annotation for segmentation, and corresponding ground truths for word recognition, and solves the segmentation problem by introducing a state-of-the-art method (BN-DRISHTI).
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