TY  - JOUR
AU  - Fernandez, Xiaoming
AU  - Suzuki, Mohammad
AU  - Mukherjee, Farhana
TI  - Handwritten Character Recognition
JO  - Open Access Journal of Engineering Applications
PY  - 2010
VL  - 34
IS  - 1
SP  - 115
EP  - 129
AB  - The vulnerability of urban traffic networks to disruption underlines the importance of studying handwritten character recognition. To evaluate the proposed technique, wavelet transform is used to compare several candidate configurations. The results confirm that handwritten character recognition can be predicted with an error below 30%. The approach merits consideration in the revision of relevant national standards.
KW  - handwritten character recognition
KW  - wavelet transform
KW  - finite element method
KW  - optimisation
SN  - 3105-7004
DO  - 10.55555/oajea.2010.3401.007
UR  - https://journal.bsaps.com/article/8674
ER  -