TY - GEN
T1 - Arabic (Indian) handwritten digits recognition using gabor-based features
AU - Mahmoud, Sabri A.
PY - 2008
Y1 - 2008
N2 - Arabic (Indian) handwritten digits recognition is useful in a large variety of banking and business applications and in postal zip code reading, and data entry applications. In this paper we present a technique for the automatic recognition of Arabic (Indian) handwritten digits using Gabor-based features and Support Vector Machines (SVMs). A database consisting of 21120 samples written by 44 writers is used. 70% of the data is used for training and the remaining 30% is used for testing. Several scales and orientations are used to extract the Gaborbased features. The achieved average recognition rates are 99.85% and 97.94% using 3 scales & 5 orientations and using 4 scales & 6 orientations, respectively. The experimental results indicate the effectiveness of the Gabor-based features and SVM for Arabic (Indian) digits recognition.
AB - Arabic (Indian) handwritten digits recognition is useful in a large variety of banking and business applications and in postal zip code reading, and data entry applications. In this paper we present a technique for the automatic recognition of Arabic (Indian) handwritten digits using Gabor-based features and Support Vector Machines (SVMs). A database consisting of 21120 samples written by 44 writers is used. 70% of the data is used for training and the remaining 30% is used for testing. Several scales and orientations are used to extract the Gaborbased features. The achieved average recognition rates are 99.85% and 97.94% using 3 scales & 5 orientations and using 4 scales & 6 orientations, respectively. The experimental results indicate the effectiveness of the Gabor-based features and SVM for Arabic (Indian) digits recognition.
KW - Arabic (Indian) digits
KW - Gabor filters
KW - Recognition of handwritten arabic numerals
KW - Support vector machines
UR - https://www.scopus.com/pages/publications/67649544922
U2 - 10.1109/INNOVATIONS.2008.4781779
DO - 10.1109/INNOVATIONS.2008.4781779
M3 - Conference contribution
AN - SCOPUS:67649544922
SN - 9781424433971
T3 - 2008 International Conference on Innovations in Information Technology, IIT 2008
SP - 683
EP - 687
BT - 2008 International Conference on Innovations in Information Technology, IIT 2008
ER -