A connected component-based deep learning model for multi-type struck-out component classification

• Main Authors: Shivakumara, Palaiahnakote, Jain, Tanmay, Surana, Nitish, Pal, Umapada, Lu, Tong, Blumenstein, Michael, Chanda, Sukalpa
• Format: Conference or Workshop Item
• Published: 2021
• Subjects: QA75 Electronic computers. Computer science; T Technology (General)
• Online Access: http://eprints.um.edu.my/35417/

Due to the presence of struck-out handwritten words in document images, the performance of different methods degrades for several important applications, such as handwriting recognition, writer, gender, fraudulent document identification, document age estimation, writer age estimation, normal/abnorm...