TY - GEN
T1 - Elyazisi Tanima Sistemlerinde Doǧrusal Boyut İndirgeme Yöntemleri
AU - Çapar, Abdülkerim
AU - Ayvaci, Alper
AU - Kahraman, Fatih
AU - Demirel, Hakan
AU - Gökmen, Muhittin
PY - 2004
Y1 - 2004
N2 - Handwritten Character Recognition Systems can be divided into three steps: pre-processing, feature extraction and classification. In the feature extraction process, representation power of features should be increased yet keeping the number of features as small as possible. In this study, raw character image vectors are projected to lower dimension spaces by different linear transformations and their representation and discrimination power are compared. In dimension reduction, Principal Component Analysis (PCA), Multiple Discriminant Analysis (MDA) and Independent Component Analysis (ICA) are compared and best classification performance is obtained by using ICA. A multi layer perceptron, which is trained by conjugate gradient algorithm, is used for classification. The handwritten character database, studied on, consists of 5000 training patterns and 2500 test patterns.
AB - Handwritten Character Recognition Systems can be divided into three steps: pre-processing, feature extraction and classification. In the feature extraction process, representation power of features should be increased yet keeping the number of features as small as possible. In this study, raw character image vectors are projected to lower dimension spaces by different linear transformations and their representation and discrimination power are compared. In dimension reduction, Principal Component Analysis (PCA), Multiple Discriminant Analysis (MDA) and Independent Component Analysis (ICA) are compared and best classification performance is obtained by using ICA. A multi layer perceptron, which is trained by conjugate gradient algorithm, is used for classification. The handwritten character database, studied on, consists of 5000 training patterns and 2500 test patterns.
UR - http://www.scopus.com/inward/record.url?scp=18844391793&partnerID=8YFLogxK
M3 - Konferans katkısı
AN - SCOPUS:18844391793
SN - 0780383184
SN - 9780780383180
T3 - Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004
SP - 611
EP - 614
BT - Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004
A2 - Gunsel, B.
T2 - Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004
Y2 - 28 April 2004 through 30 April 2004
ER -