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STUDY OF PERCEPTUAL SIMILARITY BETWEEN DIFFERENT LEXICONS
- Source :
- International Journal of Pattern Recognition and Artificial Intelligence. 18:1321-1338
- Publication Year :
- 2004
- Publisher :
- World Scientific Pub Co Pte Lt, 2004.
-
Abstract
- The study investigates the perceptual feature similarity between different lexicons based on visual perception of the words and their representation through an observation sequence. We confirm that it is possible to use databases, which are similar in terms of morphological/perceptual features to improve the recognition performance. In this work, we demonstrated through experimentation, that it is possible to improve the recognition rate of handwritten Portuguese words by adding samples of French words in the training set. Experimental results show the efficiency of this strategy reducing the error rate.
- Subjects :
- Sequence
Visual perception
Computer science
business.industry
Speech recognition
media_common.quotation_subject
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Word error rate
Perceptual similarity
computer.software_genre
Artificial Intelligence
Perception
Similarity (psychology)
Feature (machine learning)
Computer Vision and Pattern Recognition
Artificial intelligence
business
Representation (mathematics)
computer
Software
Natural language processing
media_common
Subjects
Details
- ISSN :
- 17936381 and 02180014
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- International Journal of Pattern Recognition and Artificial Intelligence
- Accession number :
- edsair.doi...........133f75e4115bfc87832b139114062e4f