Title
Preprocessing and Recognition of Characters in Container Codes
Abstract
This paper describes the recognition of container code characters. The system has to deal with outdoor images which usually have damaged characters and obtain an answer in real time. Tophat transformation, equalization and adaptive cropping have been applied so as to reduce the noise and correct the inclusion box. The training corpus is artificially grown by applying controlled deformations of the samples which increase the recognition rate. Approximated nearest neighbours are used in order to perform a fast search with a large corpus.
Year
DOI
Venue
2002
10.1109/ICPR.2002.1047815
ICPR (3)
Keywords
Field
DocType
real time,pattern recognition,image segmentation,automatic control,feature extraction,noise,mathematical morphology,noise reduction,preprocessing,equalization
Noise reduction,Computer vision,Character recognition,Equalization (audio),Pattern recognition,Mathematical morphology,Computer science,Feature extraction,Automatic control,Image segmentation,Preprocessor,Artificial intelligence
Conference
Volume
ISSN
ISBN
3
1051-4651
0-7695-1695-X
Citations 
PageRank 
References 
5
0.53
2
Authors
3