Title :
Handwritten Text Preprocessing Algorithm Applying SUSAN Principle
Author :
Draganov, Ivo R. ; Popova, Antoaneta A.
Author_Institution :
Tech. Univ., Sofia
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;
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
DOI :
10.1109/ISSPIT.2007.4458179
