Абстрактный

Text Extraction from Natural Scene Images and Conversion to Audio in Smart Phone Applications

M. Prabaharan, K. Radha

Extracting text character from natural scene images is a challenging problem due to differences in text style, font, size, orientation, alignment and complex background. The text data present in images and video contain certain useful information for content-based information indexing and retrieval, sign translation and intelligent driving assistance. In scene text extraction, adjacent character grouping and character stroke orientation method is performed to search for image regions of text strings. Our proposed system is extracting a text and the extracted text information into audio. The Smart mobile phone application is used to show the effectiveness of our proposed method effectively.