A Prolongation-Based Approach for Recognizing Cut Characters
暂无分享,去创建一个
This work has to do with Optical Character Recognition in the context of degraded characters, and more particularly in the context of cut characters. It appears like a complement to a more general problem and investigates a field not often seen in literature. The problem is first divided into two sub-problems: first, modular networks, separating the detection of cut characters and their classification are proposed. Then, the classification part is completed with information coming from the prolongation of cut characters.
[1] Bernard Gosselin,et al. From Picture to Speech: an Innovative Application for Embedded Environment , 2003 .
[2] Kunihiko Fukushima,et al. Restoring Partly Occluded Patterns: A Neural Network Model with Backward Paths , 2003, ICANN.
[3] Jos Nijhuis,et al. A modular neural network classifier for the recognition of occluded characters in automatic license plate reading , 2002 .