Complete System for Text Line Extraction Using Convolutional Neural Networks and Watershed Transform
Joan Pastor-Pellicer|Muhammad Zeshan Afzal|Marcus Liwicki|María José Castro-Bleda
We present a novel Convolutional Neural Network based method for the extraction of text lines, which consists an initial Layout Analysis followed by estimation Main Body Area (i.e., area between baseline and corpus line) each line. Finally, region-based using watershed transform is performed on map extracting resulting lines. have evaluated new system IAM-HisDB, publicly available dataset containing historical documents, outperforming existing learning-based line methods, consider problem as pixel labelling into non-text regions.