Text Extraction of Vehicle Number Plate and Document Images Using Discrete Wavelet Transform in MATLAB
Akash Goel, Prof. Yogesh Kumar Sharma · IOSR Journal of Computer Engineering · 2014
Text Extraction from colour images is a challenging task in computer vision. The concept of text extraction is derived from the vehicle plate recognization and their characters extractions individually. Some examples of the applications are automatic image indexing, visual impaired people assistance or optical character reading, keyword searching in a document image. The continuous research has been done majorly that focuses on the text detection and localization in images. The paper focuses on the colour images text extraction using Two Dimensional Discrete Wavelet Transform (2D-DWT). The transform used for DWT is HAAR DWT with mathematical morphological concept. The speed of Haar DWT operates the fastest among all wavelets because its coefficients are either 1 or -1. It is one of the reasons that Haar DWT is used to detect edges of candidate text regions. Image sub bands contain both text edges and non-text edges. The work is carried out in MATLAB 12.0 image processing tool and simulated results are tested on vehicle plate text extraction and the document images.