Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/338605
Title: Authentication and privacy verification of medical image through visual cryptography
Researcher: Alif Siddiqua Begum, A
Guide(s): Nirmala, S
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
Visual cryptography
Image processing
University: Anna University
Completed Date: 2020
Abstract: Nowadays, multimedia applications are ubiquitous and it is emerging as an inevitable technique for human to tackle the daily life routines effectively. It appears in various forms such as text, video, and image etc. These are frequently transmitted through the internet. The multimedia data nowadays play a vital role in many fields including medical, education and military. With multimedia technique, information about the certain thing can be understand and utilized effectively. It provides clear information than traditional techniques. Multimedia data is quiet effective than normal text. In recent days, multimedia application is essential one in medical field in order to diagnose the patient s disease. Therefore, the transmission of multi-media medical content is necessary for providing effective treatment. However, patient s confidentiality is questionable in transferring the medical data via unsecured and open networks. So, ensuring the security of the data is becomes vital than utilizing the medical resources. Hence, many researchers pay more attention on data security in order to achieve the secure data transmission in medical domain. Cryptographic technique is an effective technique to prevent data from hacking by means of encryption and decryption concept. However, normal cryptographic technique cannot deal with multimedia contents therefore; visual cryptographic technique is emerged for securing medical image. Traditional visual cryptographic techniques cannot provide good efficiency on noise and blur image. Therefore, optimal secure visual cryptography for medical image is proposed for providing the effective secure system. This will make such images inaccessible by unauthorized person and also ensures confidentiality. In this technique medical image is selected as an input from the database and the selected input medical image is incorporated with the discrete wavelet transform for partitioning the image into blocks. To select the optimal position of every block, proposed method makes use of gaussian based cuckoo search algorithm. Proposed technique creates the dual shares from the secret image. Secret image is converted into number of sheets/shares and utilized for decryption of image. Finally, the shares are embedded to the optimal position in the blocks. After embedding, the extraction operation is carried out. Medical image authentication and verification is done using visual cryptographic design. The target database is utilized for the purpose of authentication and verification of medical image where secret images are registered in the target database. Based on this optimal secure visual cryptography method the user s authentication newline
Pagination: Xii,130 p.
URI: http://hdl.handle.net/10603/338605
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.1 kBAdobe PDFView/Open
02_certificates.pdf434.8 kBAdobe PDFView/Open
03_vivaproceedings.pdf799.2 kBAdobe PDFView/Open
04_bonafidecertificate.pdf132.98 kBAdobe PDFView/Open
05_abstracts.pdf300.09 kBAdobe PDFView/Open
06_acknowledgements.pdf590.97 kBAdobe PDFView/Open
07_contents.pdf188.2 kBAdobe PDFView/Open
08_listoftables.pdf181.73 kBAdobe PDFView/Open
09_listoffigures.pdf183.33 kBAdobe PDFView/Open
10_listofabbreviations.pdf209.91 kBAdobe PDFView/Open
11_chapter1.pdf712.47 kBAdobe PDFView/Open
12_chapter2.pdf403.59 kBAdobe PDFView/Open
13_chapter3.pdf589.66 kBAdobe PDFView/Open
14_chapter4.pdf424.13 kBAdobe PDFView/Open
15_chapter5.pdf519.88 kBAdobe PDFView/Open
16_conclusion.pdf310.98 kBAdobe PDFView/Open
17_references.pdf341.82 kBAdobe PDFView/Open
18_listofpublications.pdf301.67 kBAdobe PDFView/Open
80_recommendation.pdf108.15 kBAdobe PDFView/Open
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