104 citations · 206 across the 4 of their papers we have counts for
4 papers
GR-RNN: Global-Context Residual Recurrent Neural Networks for Writer Identification
Sheng He, Lambert Schomaker
This paper presents an end-to-end neural network system to identify writers through handwritten word images, which jointly integrates global-context information and a sequence of l…
FragNet: Writer Identification using Deep Fragment Networks
Sheng He, Lambert Schomaker
Writer identification based on a small amount of text is a challenging problem. In this paper, we propose a new benchmark study for writer identification based on word or text bloc…
Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images
Sheng He, Lambert Schomaker
There are two types of information in each handwritten word image: explicit information which can be easily read or derived directly, such as lexical content or word length, and im…
Open Set Chinese Character Recognition using Multi-typed Attributes
Sheng He, Lambert Schomaker
Recognition of Off-line Chinese characters is still a challenging problem, especially in historical documents, not only in the number of classes extremely large in comparison to co…