Συνέδριο

Συγγραφείς: Kavallieratou E., Stamatatos E., Fakotakis N., Kokkinakis G.
Τίτλος: Handwritten Character Segmentation Using Transformation-Based Learning
Συνέδριο: 15th Int. Conf. on Pattern Recognition (ICPR2000)
Editors:
Ed: Όχι
Eds: Όχι
Σελίδες: 634-637
Να εμφανιστεί: Όχι
Μήνας:
Έτος: 2000
Τόπος:
Εκδότης:
Δεσμός:
Όνομα αρχείου:
Περίληψη: This paper presents a character segmentation algorithm for unconstrained cursive handwritten text. The transformation-based learning method and a simplified variation of it are used in order to extract automatically rules that detect the segment boundaries. Comparative experimental results are given for a collection of multi-writer handwritten words. The achieved accuracy in detecting segment boundaries exceeds 82%. Moreover, limited training data can provide very satisfactory results.