Cognitive and artificial representations in handwriting recognition

Andrew P. Lenaghan; Ron Malyan

doi:10.1117/12.234701

7 March 1996 Cognitive and artificial representations in handwriting recognition

Andrew P. Lenaghan, Ron Malyan

Proceedings Volume 2660, Document Recognition III; (1996) https://doi.org/10.1117/12.234701
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

Both cognitive processes and artificial recognition systems may be characterized by the forms of representation they build and manipulate. This paper looks at how handwriting is represented in current recognition systems and the psychological evidence for its representation in the cognitive processes responsible for reading. Empirical psychological work on feature extraction in early visual processing is surveyed to show that a sound psychological basis for feature extraction exists and to describe the features this approach leads to. The first stage of the development of an architecture for a handwriting recognition system which has been strongly influenced by the psychological evidence for the cognitive processes and representations used in early visual processing, is reported. This architecture builds a number of parallel low level feature maps from raw data. These feature maps are thresholded and a region labeling algorithm is used to generate sets of features. Fuzzy logic is used to quantify the uncertainty in the presence of individual features.

Citation Download Citation

Andrew P. Lenaghan and Ron Malyan "Cognitive and artificial representations in handwriting recognition", Proc. SPIE 2660, Document Recognition III, (7 March 1996); https://doi.org/10.1117/12.234701

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