A new approach for segmentation of image and text in natural and commercial color documents

Author

Kundu, Malay Kumar ; Dhar, Sudipta ; Banerjee, M.

Author_Institution

Machine Intell. Unit, Indian Stat. Inst., Kolkata, India

fYear

2012

fDate

28-29 Dec. 2012

Firstpage

85

Lastpage

88

Abstract

This paper presents an efficient method for segmenting text and non text parts of natural real life images and colored document images using M-band wavelet packet frames. Various combinations of band pass channels of M-band wavelet packet frames represent the image at different scale and orientations in the frequency planes of YCbCr components of color images. The scale space feature vector comprises of the local energy around each pixel at different scales and segmentation is achieved using fuzzy C-means clustering. No information regarding font size, scaling representation, type of layout etc. of the images are considered in our algorithm.

Keywords

image colour analysis; image segmentation; text analysis; wavelet transforms; M-band wavelet packet frames; YNbCr; band pass channels; color images; commercial color documents; frequency planes; image segmentation; natural color documents; natural real life images; scale space feature vector; text segmentation; Decision support systems; Intelligent systems; Manganese; M-band packet wavelet; adaptive basis selection; color document segmentation; texture segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Devices and Intelligent Systems (CODIS), 2012 International Conference on

Conference_Location

Kolkata

Print_ISBN

978-1-4673-4699-3

Type

conf

DOI

10.1109/CODIS.2012.6422142

Filename

6422142