Open AccessWavelet transform based technique for text image localization
Author(s) -
Suhad A. Ali,
Ashwaq T. Hashim
Publication year - 2016
Publication title -
karbala international journal of modern science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.345
H-Index - 17
eISSN - 2405-6103
pISSN - 2405-609X
DOI - 10.1016/j.kijoms.2016.03.004
Subject(s) - artificial intelligence , pattern recognition (psychology) , computer science , computer vision , projection (relational algebra) , wavelet , feature (linguistics) , pixel , wavelet transform , enhanced data rates for gsm evolution , edge detection , discrete wavelet transform , image (mathematics) , contrast (vision) , text detection , image processing , algorithm , philosophy , linguistics
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