161 citations · 162 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 1 cited
A large-scale field test on word-image classification in large historical document collections using a traditional and two deep-learning methods
Lambert Schomaker
This technical report describes a practical field test on word-image classification in a very large collection of more than 300 diverse handwritten historical manuscripts, with 1.6…
cs.CV2019★ 161 cited
DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning
Sheng He, Lambert Schomaker
This paper presents a novel iterative deep learning framework and apply it for document enhancement and binarization. Unlike the traditional methods which predict the binary label…
cs.LG2016
Caveats on Bayesian and hidden-Markov models (v2.8)
Lambert Schomaker
This paper describes a number of fundamental and practical problems in the application of hidden-Markov models and Bayes when applied to cursive-script recognition. Several problem…