Title :
On a Clustering Method for Handwritten Digit Recognition
Author :
Xu Ye ; Zhang Wei
Author_Institution :
Coll. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Abstract :
In this paper, a clustering method for handwritten digit recognition is studied. The digit samples, firstly are processed and features are extracted. Based on these features, a clustering method is designed and implemented to cluster the digit samples. Experiments finally show that the clustering method is efficient in handwritten digit recognition.
Keywords :
feature extraction; handwritten character recognition; optical character recognition; pattern clustering; clustering method; digit samples; feature extraction; handwritten digit recognition; optical character recognition technology; clustering method; handwritten digit recognition;
Conference_Titel :
Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-8548-2
Electronic_ISBN :
978-0-7695-4249-2
DOI :
10.1109/ICINIS.2010.130
