Fig. 9 Extracted watermark
The proposed method is also used to decompose the blocks including multi-line texts into single line text. According to the experimental results, the proposed method is proved to be efficient for extracting the watermark text regions from the image. In the fig. 6, Original image is of vehicle plate which has the number MX55NOB. The encrypted watermark is shown in fig. 7, which is copyright@author India Do’t. Copy.After encryption watermark fig. 8 is approximately same because watermark is embedded with the image and under invisible watermarking technique. After MATLAB simulation and watermark extraction/ decryption , the same watermark key is extracted copyright@author India Do’t. Copy, as shown in fig.9.
The watermark key text extraction on the colour images using mathematical morphology and Haar DWT is done successfully with the concept of encryption and decryption. Applications of text extraction are huge including the making of digital copies of the ancient scripture to everyday life bills etc. It may be required to be of digital form. Digital watermarks provide an efficient cost effective means of a digital image which may be used for copyright protection. In watermarking technology, the watermark key is unique and exhibits a one-to-one correspondence with every watermark. The key is private and known to only authorized parties, eliminating the possibility of illegal usage of digital content. The watermarking scheme is simulated successfully in MATLAB. The work is carried out for images. In the future work, further research can explore with the techniques to recognize the special characters from colour images. The limitation of the watermarking algorithms implemented is that the processing needs to be done pixel-by-pixel. In future development, we are aiming to investigate block-by-block processing. Digital watermarking find applications in the defense sector where it is must to transmit data secretly.
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