An Old Greek Handwritten OCR System
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Hybrid off-line OCR for isolated handwritten Greek characters
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
A system for processing and recognition of old Greek manuscripts the D-SCRIBE project
AIC'04 Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications
Hybrid off-line OCR for isolated handwritten Greek characters
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
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In this paper a handwritten character recognition algorithm based on structural characteristics, histograms and profiles, is presented. The well- known horizontal and vertical histograms are used, in combination with the newly introduced radial histogram, out-in radial and in-out radial profiles for representing 32 x 32 matrices of characters, as 280- dimension vectors.The K-means algorithm is used for the classification of these vectors. Detailed experiments performed in NIST and GRUHD databases gave promising accuracy results that vary from 72.8% to 98.8% depending on the difficulty of the database and the character category.