Rapporto tecnico, 2012, ENG

Handwritten chinese character recognition using eigenspace decomposition

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.

Keywords

handwritten Chinese character, character recognition, eigen character, eigen space decomposition, k Nearest Neighbor

CNR authors

Kuruoglu Ercan Engin

CNR institutes

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

External links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:213000