Off-line Cursive Handwritten Word Recognition Based on Tree Extraction and an Optimized Classification Distance
نویسنده
چکیده
This paper describes a geometric approach to the difficult off-line handwritten word recognition problem. The method classifies feature trees from isolated handwritten words, measuring the distance between two trees. The nearest-neighbour method has been used to classify the prototypes and the leaving-one-out criterion has been applied in order to test the classifier.
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تاریخ انتشار 2008