Handwritten Line Segmentation
2 papers with code • 1 benchmarks • 1 datasets
Handwritten Line Segmentation from Document Images.
Most implemented papers
BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line Segmentation
Our line segmentation approach takes care of the variability involved in different writing styles, accurately segmenting complex handwritten text lines of curvilinear nature.
BN-DRISHTI: Bangla Document Recognition through Instance-level Segmentation of Handwritten Text Images
Handwriting recognition remains challenging for some of the most spoken languages, like Bangla, due to the complexity of line and word segmentation brought by the curvilinear nature of writing and lack of quality datasets.