Long H., Zhang X., Kuruoglu E. E.
Shanghai Jiao Tong University, China; Shanghai Jiao Tong University, China; CNR-ISTI, Pisa, Italy;
In this paper, we mainly describe a new approach of Handwritten Chinese Character Recognition (HCCR), which is based on eigen-character extraction. The procedure of the eigen-character extraction method is explained including initialization, eigen character extraction (or eigen spaces generation) and character recognition. Two different methods are presented to do eigen character recognition respectively. Besides, k Nearest Neighbor (kNN) is implemented to improve the recognition rate of the new approach. In the end, a comparison is made between the eigen-character extraction approach and other existing approaches through simulation based experiments. The results show that our approach has a satisfying rate and could be further improved if combined with some other methods such as elastic matching and wavelet methods.
handwritten Chinese character, character recognition, eigen character, eigen space decomposition, k Nearest Neighbor
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 213000
Year: 2012
Type: Rapporto tecnico
Creation: 2013-05-14 11:55:19.000
Last update: 2020-12-18 11:35:27.000
CNR authors
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:213000