TY - JOUR
TI - Investigation of Normalization Techniques and Their Impact on a Recognition Rate in Handwritten Numeral Recognition
AU - Chmielnicki, Wieslaw
AU - Stapor, Katarzyna
TI - Investigation of Normalization Techniques and Their Impact on a Recognition Rate in Handwritten Numeral Recognition
AB - This paper presents several normalization techniques used in handwritten numeral recognition and their impact on recognition rates. Experiments with five different feature vectors based on geometric invariants, Zernike moments and gradient features are conducted. The recognition rates obtained using combination of these methods with gradient features and the SVM-rbf classifier are comparable to the best state-of-art techniques.
VL - 2010
IS - Volume 19
PY - 2011
SN - 1732-3916
C1 - 2083-8476
SP - 53
EP - 78
UR - https://ejournals.eu/en/journal/schedae-informaticae/article/investigation-of-normalization-techniques-and-their-impact-on-a-recognition-rate-in-handwritten-numeral-recognition
KW - handwritten numeral recognition
KW - normalization techniques
KW - SVM classifier
KW - feature vectors
KW - OCR
KW - geometric invariants
KW - Zernike moments
KW - gradient features.