Handwritten Text Preprocessing Algorithm Applying SUSAN Principle

Author

Draganov, Ivo R. ; Popova, Antoaneta A.

Author_Institution

Tech. Univ., Sofia

fYear

2007

fDate

15-18 Dec. 2007

Firstpage

1111

Lastpage

1115

Abstract

In this paper an analysis is presented concerning the applicability of filters and edge/corner detectors using Smallest Univalue Segment Assimilating Nucleus (SUSAN) principle to preprocessing of images containing handwritten text. A new adaptive approach for estimating intensity threshold is given which proves filter and edge/corner efficiency. Different brightness similarity functions are tested for proper finding the Univalue Segment Assimilating Nucleus (USAN) area. A comparison is made with the averaging, Gaussian and median filters to reveal SUSAN filter superiority when filtering different kinds of noise and preserving the original structure of the handwriting.

Keywords

adaptive estimation; adaptive filters; edge detection; handwritten character recognition; text analysis; Gaussian filter; adaptive estimation; corner detector; edge detector; handwritten text preprocessing algorithm; image preprocessing; median filter; smallest univalue segment assimilating nucleus principle; Adaptive filters; Brightness; Detectors; Filtering; Handwriting recognition; Image edge detection; Image segmentation; Noise cancellation; Pixel; Signal processing algorithms; SUSAN; corner detector; edge detector; filter; handwriting recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2007 IEEE International Symposium on

Conference_Location

Giza

Print_ISBN

978-1-4244-1835-0

Electronic_ISBN

978-1-4244-1835-0

Type

conf

DOI

10.1109/ISSPIT.2007.4458179

Filename

4458179