DocumentCode
703640
Title
The use of steerable filters for hand-written character recognition
Author
Tufan, Emir ; Tavsanoglu, Vedat
Author_Institution
Dept. of Electron. Eng., Univ. of Istanbul Avcilar, Istanbul, Turkey
fYear
1998
fDate
8-11 Sept. 1998
Firstpage
1
Lastpage
4
Abstract
We develop a system for image recognition using steer-able filters and neural networks where the main role of steerable filters is in the pre-processing of the image. This process enables the characterisation of the image by the local dominant orientation rather than global image. The Kohonen´s self organising feature map is used for the recognition task.
Keywords
handwritten character recognition; image filtering; image recognition; self-organising feature maps; Kohonen self organising feature map; hand-written character recognition; image recognition; local dominant orientation; neural networks; steerable filters; Biological neural networks; Image edge detection; Interpolation; Neurons; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location
Rhodes
Print_ISBN
978-960-7620-06-4
Type
conf
Filename
7090111
Link To Document