Model based table cell detection and content extraction from degraded document images
Zhixin Shi, Srirangaraj Setlur, Venu Govindaraju · 2012
This paper describes a novel method for detection and extraction of contents of table cells from handwritten document images. Given a model of the table and a document image containing a table, the hand-drawn or pre-printed table is detected and the contents of the table cells are extracted automatically. The algorithms described are designed to handle degraded binary document images. The target images may include a wide variety of noise, ranging from clutter noise, salt-and-pepper noise to non-text objects such as graphics and logos.