TY - GEN
T1 - A classifier of similar characters using compound Mahalanobis function based on difference subspace
AU - Hirayama, Junichi
AU - Nakayama, Hidehisa
AU - Kato, Nei
PY - 2007/12/1
Y1 - 2007/12/1
N2 - To distinguish similar characters, it is preferable to construct a classifier using a projective feature space which differentiates two similar categories. The classifier CMF has been proposed for a discriminant function, in similar characters recognition. In the CMF, a subspace is constructed by some eigenvectors, that corresponds to the smallest eigenvalues, is applied as projective feature space. A difference vector of two class-mean feature vectors are assumed as the difference between two similar categories, the CMF is constructed by projecting a feature vector onto this difference vector. In this paper, we propose new discriminant function expanding the CMF. In proposed method, we treat the Difference Subspace, which is difference between two subspaces as difference between two similar categories. The efficiency of the proposed new discriminant function has been demonstrated in similar characters recognition through extensive experiments on hand-written Japanese characters derived from the ETL9B database.
AB - To distinguish similar characters, it is preferable to construct a classifier using a projective feature space which differentiates two similar categories. The classifier CMF has been proposed for a discriminant function, in similar characters recognition. In the CMF, a subspace is constructed by some eigenvectors, that corresponds to the smallest eigenvalues, is applied as projective feature space. A difference vector of two class-mean feature vectors are assumed as the difference between two similar categories, the CMF is constructed by projecting a feature vector onto this difference vector. In this paper, we propose new discriminant function expanding the CMF. In proposed method, we treat the Difference Subspace, which is difference between two subspaces as difference between two similar categories. The efficiency of the proposed new discriminant function has been demonstrated in similar characters recognition through extensive experiments on hand-written Japanese characters derived from the ETL9B database.
UR - http://www.scopus.com/inward/record.url?scp=51149083052&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51149083052&partnerID=8YFLogxK
U2 - 10.1109/ICDAR.2007.4378746
DO - 10.1109/ICDAR.2007.4378746
M3 - Conference contribution
AN - SCOPUS:51149083052
SN - 0769528228
SN - 9780769528229
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 432
EP - 436
BT - Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
T2 - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
Y2 - 23 September 2007 through 26 September 2007
ER -