DOI: 10.36347/sjet.2020.v08i12.006

Pages: 236-240

The technological development in the era of image processing and machine vision has two faces. One face is to help the society by automation and the other side has serious implications on the society like cybercrimes e.g. web hacking, cracking, etc. one of the emerging crimes is preparing fake legal documents in now days. These documents have social values, like a degree certificate certifies the educational qualification of a person. The legal documents contain lots of symbols like kin grams, hologram, watermark etc. by which we can verify the authenticity of these documents. Digital watermarking emerged as a tool for protecting the multimedia data from copyright infringement. In this paper an attempt has been made to verify the legal document on the basis of watermark. In this work the correlation mapping with neural network is used for extracting the watermark to verify the legal documents. This technique gives elevated accuracy rate with fewer times to extract watermark. Verifying the currency has many applications in banks as they have to deal with counterfeit currency every day. Our system would be extremely useful for a person to check the authenticity of his currency note this method can be implemented also in additional applications like stamp verification, currency verification etc.