In the part-based recognition method proposed in this paper, a handwritten character image is represented by just a set of local parts. Then, each local part of the input pattern ...
The goal of testing is to discriminate between multiple hypotheses about a system--for example, different fault diagnoses--by applying input patterns and verifying or falsifying t...
We introduce a new incremental search method called Migemo for languages with many character faces. Migemo performs the incremental search by dynamically expanding the input patte...
This paper proposes a method to accelerate character recognition of a large character set by employing pivots into the search space. We divide the feature space of character categ...
When recognizing multiple fonts, geometric features, such as the directional information of strokes, are generally robust against deformation but are weak against degradation. Thi...
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
Conventional methods for recognizing multiple fonts and handwriting are generally robust against deformation but are weak against degradation. This paper proposes a category-depen...