Title :
On the development of an OCR system based on curvature features
Author :
Gatos, B. ; Papamarkos, N.
Author_Institution :
Dept. of Electr. Eng., Democritus Univ. of Thrace, Xanthi, Greece
Abstract :
This paper proposes a new method for optical character recognition which is based on curvature features. The curvature features are obtained according to the slopes of the character edge pixels. Through this technique powerful features are extracted for each character which allow us to have character recognition independent of font type and size. The proposed method can also recognize deformed fonts with high accurate results and low error rates
Keywords :
feature extraction; optical character recognition; OCR system; character edge pixels; classification; curvature features; deformed fonts recognition; feature extraction; low error rates; optical character recognition; Character recognition; Circuit analysis; Error analysis; Feature extraction; Filtering; Humans; Informatics; Laboratories; Office automation; Optical character recognition software;
Conference_Titel :
Industrial Electronics, 1995. ISIE '95., Proceedings of the IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-7369-3
DOI :
10.1109/ISIE.1995.496627