beratkurar

textline_segmentation_using_fcn

unsupervised_deep_learning_for_text_line_segmentation

diva_dataset_evaluate

segmenting_multiply_oriented_and_curved_handwritten_textlines

arabic_handwritten_textline_extraction_dataset

VML-AHTE dataset: Arabic Handwritten Text Line Extraction dataset is a natural handwritten benchmark dataset for text lines with crowdy diacritics, touching and overlapping characters. It is fully labeled at line level by native Arabic speakers. The dataset contains 20 training pages and 10 test pages. Every document image has a corresponding ground truth in the form of pixel labels and PAGE xml.

handwritten_hebrew_dataset_character_classification

unsupervised_learning_of_text_line_segmentation_by_differentiating_coarse_patterns

vmlhd_dataset_text_line_annotations_from_word_annotations

Generates text line bounding boxes and their trascription from word bounding boxes and their transcriptions.

ahte_dataset_evaluate

ai2016_solutions

asar_2018_page_segmentation_competition

beratkurar.github.io

cbad_dataset_pre_post_process

diva_dataset_pre_post_process

DSS-Utils

facenetbased-dss

handwriting-ocr

OCR software for recognition of handwritten text

hebrew-character-restoration-using-deep-learning

hebrew_word_spotting_using_siamese_network

learning_free_text_line_segmentation

Line-Segmentation

Implementation of various handwritten text line segmentation

manuscript_alignment

multiskew_text_line_extraction_using_anisotropic_gaussian_python

page_segmentation_using_text_nontext_classification

this code uses open source FCN to classify text and non text images

text_line_extraction_using_anisotropic_gaussian_python

textline_segmentation_using_fcn_and_em

unet

unet for image segmentation

unsupervised_deep_learning_for_page_segmentation

word-spotting-using-siamese-network

writing_style_classification

Classifying Hebrew writing styles using deep learning