TY  - JOUR
T1  - Effects of Character Recognition with Shell Histogram Method Using Plate Characters
TT  - Effects of Character Recognition with Shell Histogram Method Using Plate Characters
AU  - Uzun Arslan, Rukiye
AU  - İncetaş, Mürsel Ozan
AU  - Dikici, Sedat
PY  - 2019
DA  - December
DO  - 10.2339/politeknik.593633
JF  - Politeknik Dergisi
PB  - Gazi University
WT  - DergiPark
SN  - 2147-9429
SP  - 1093
EP  - 1099
VL  - 22
IS  - 4
LA  - en
AB  - Character recognitionis a study that has been used in various fields for many years. In characterrecognition, the aim is to identify the various texts, letters and symbols inthe images as accurately and quickly as possible. In addition to the OpticalCharacter Recognition (OCT) method, which is used as a very common method,there are many feature extraction methods in which character image features arecompared. In this study, which is presented as another feature extractionmethod, the letters on the license plates are recognized. The characters wereexamined using the circular shape histogram technique and histograms wereobtained from the sectors within the circular regions. Feature vectors forletter characters were created using character pixel densities in sectors.Feature vectors are analyzed linearly and an alternative quick characterrecognition method is presented. With the proposed method, the element numbersof the feature vectors are kept constant. In this way, both the processingspeed is increased and the processing speed variations are minimized. Theresults show that the proposed method requires lesser parameters than the OCTmethod, but also has a significant success rate according to known featureextraction methods.
KW  - Character recognition
KW  - feature extraction
KW  - shape histogram
N2  - Character recognitionis a study that has been used in various fields for many years. In characterrecognition, the aim is to identify the various texts, letters and symbols inthe images as accurately and quickly as possible. In addition to the OpticalCharacter Recognition (OCT) method, which is used as a very common method,there are many feature extraction methods in which character image features arecompared. In this study, which is presented as another feature extractionmethod, the letters on the license plates are recognized. The characters wereexamined using the circular shape histogram technique and histograms wereobtained from the sectors within the circular regions. Feature vectors forletter characters were created using character pixel densities in sectors.Feature vectors are analyzed linearly and an alternative quick characterrecognition method is presented. With the proposed method, the element numbersof the feature vectors are kept constant. In this way, both the processingspeed is increased and the processing speed variations are minimized. Theresults show that the proposed method requires lesser parameters than the OCTmethod, but also has a significant success rate according to known featureextraction methods.
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UR  - https://doi.org/10.2339/politeknik.593633
L1  - https://dergipark.org.tr/en/download/article-file/791471
ER  -