Title :
Evaluation of character recognition systems
Author_Institution :
Nat. Inst. of Standards & Technol., Gaithersburg, MD, USA
Abstract :
Eleven different Census Optical Character Recognition Systems systems are evaluated using correlations between the answers of different systems, comparing the decrease in error rate as a function of confidence of recognition, and comparing the writer dependence of recognition. This comparison shows that methods that use different algorithms for feature extraction and recognition perform with very high levels of correlation
Keywords :
character recognition equipment; feature extraction; neural nets; optical character recognition; Census Optical Character Recognition Systems; confidence of recognition; error rate; feature extraction; writer dependence; Character recognition; Error analysis; Feature extraction; Multi-layer neural network; NIST; Neural networks; Optical character recognition software; Pattern recognition; Statistical analysis; System testing;
Conference_Titel :
Neural Networks for Processing [1993] III. Proceedings of the 1993 IEEE-SP Workshop
Conference_Location :
Linthicum Heights, MD
Print_ISBN :
0-7803-0928-6
DOI :
10.1109/NNSP.1993.471839
