Title :
SARAT-a system for the recognition of Arabic printed text
Author_Institution :
Inst. fur Nachrichtentechnik, Tech. Univ. Braunschweig, Germany
fDate :
30 Aug-3 Sep 1992
Abstract :
Presents a new system for the automatic recognition of grabic printed text. The system is still under development. Here the concept of the so called SARAT-system is presented together with some very promising first results. The main features of the system are the segmentation into single characters through recognition, contour based features, statistical distance classification, and a word module
Keywords :
character recognition equipment; image segmentation; SARAT-system; automatic recognition; contour based features; grabic printed text; segmentation; statistical distance classification; word module; Character recognition; Feature extraction; Image segmentation; Noise reduction; Stress; Testing; Text recognition; Writing;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201841
