Extraction of Handwritten and Printed Cyrillic Text from Documents: A Resource-Efficient Pipeline
This paper presents a comprehensive, resource-efficient pipeline for extracting printed and handwritten Cyrillic text that integrates advanced image preprocessing, YOLO-based document structure and table recognition, and a Permuted Autoregressive Sequence (PARSeq) model trained specifically for Bulgarian.