Abstract
In this paper, a robust technique based on discrete wavelet transform, edge detection, and morphology operation for scene text
detection is proposed. There are several stages in the proposed method. In the first stage, a single wavelet decomposition LH, HL
and HH subbands are applied for detecting edges in original scene text image. The projection technique is applied in the second
stage to preliminary detect text and non-text pixels. In third stage, 4-connected components are applied, and then area geometric
feature is used as threshold to remove non-text region. At last stage, morphological operations are applied to connect isolated text
components and to remove non-text regions. The proposed method is applied on a various images such as images of low contrast,
complex background images and images of different fonts and size of text. The experimental results show that the proposed method
can detect regions of the text perfectly.
© 2016 The Authors. Production and hosting by Elsevier B.V. on behalf of University of Kerbala. This is an open access article
under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: DWT; Image projection; Morphological operator; Connected components