37 citations · 75 across the 12 of their papers we have counts for
4 papers · 2 filters
PageNet: Page Boundary Extraction in Historical Handwritten Documents
Chris Tensmeyer, Brian Davis, Curtis Wigington +2
When digitizing a document into an image, it is common to include a surrounding border region to visually indicate that the entire document is present in the image. However, this b…
Convolutional Neural Networks for Font Classification
Chris Tensmeyer, Daniel Saunders, Tony Martinez
Classifying pages or text lines into font categories aids transcription because single font Optical Character Recognition (OCR) is generally more accurate than omni-font OCR. We pr…
Document Image Binarization with Fully Convolutional Neural Networks
Chris Tensmeyer, Tony Martinez
Binarization of degraded historical manuscript images is an important pre-processing step for many document processing tasks. We formulate binarization as a pixel classification le…
Analysis of Convolutional Neural Networks for Document Image Classification
Chris Tensmeyer, Tony Martinez
Convolutional Neural Networks (CNNs) are state-of-the-art models for document image classification tasks. However, many of these approaches rely on parameters and architectures des…