Extraction of Hidden Text from Images using DWT

  • Authors

    • V. Beslin Geo
    • K. Sakthidasan @ Sankaran
    • P. Archana
    • M. Umarani
    2018-12-09
    https://doi.org/10.14419/ijet.v7i4.36.23908
  • Compression of Digital images, Filters, Text segmentation, Thresholding.

  • Abstract

    Extraction of hidden text in web images, computer screen images, news, games and e-learning is a very important task in image processing. Compression of digital images leads to poor visual quality of background and text images. Digital images are significantly considered and segmented using DWT into text and background blocks. Huffman coding is used to perform the lossless compression process in the compressed text pixels and the SPIHT algorithm in employed to the compress the background pixels. The result of DWT segmentation shows fringes in the segmented text image. The proposed method uses connected region and edge detection approach which provides a segmented text from digital video stills. The segmented text is converted to binary image using luminance thresholding which leads to fine quality of extracted text. 

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  • How to Cite

    Beslin Geo, V., Sakthidasan @ Sankaran, K., Archana, P., & Umarani, M. (2018). Extraction of Hidden Text from Images using DWT. International Journal of Engineering & Technology, 7(4.36), 419-423. https://doi.org/10.14419/ijet.v7i4.36.23908

    Received date: 2018-12-14

    Accepted date: 2018-12-14

    Published date: 2018-12-09