- #Machine learning text extractor pdf
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The basic proposed steganography-based method holds primarily two types of files. Steganography is a method of concealing information within a digital image, video file, or audio file (Rashmi, N. In this case, a stego key is normally used to control the detection and recovery processes in implanted data. Once a secret message implanted in a cover-image, this is referred to as stego-medium. The innocent files used here may also be referred to as cover text, cover image, or cover audio, depending on the requirements (Abikoye, O. The term “steganography” comes from a Greek language word that signifies “covered writing” in English. Steganography involves passing confidential information through original files to keep the message hidden. A key is used to perform both data and message encryption and decryption (Chief, Z. Plain text is essentially a text that contains original information that has not been encoded, whereas cipher text is the encoded text obtained immediately after the encoding of plain text (Mishra, A., 2013). The cipher text is converted to plain text during the decryption process.
The main techniques used in cryptography are encryption and decryption during the encryption process, plaintext is converted into cipher text.
In cryptography, data is safely transmitted on a public network of computers by using cryptographic techniques that make it much more difficult for intruders to access classified non-public information (Rahmani, M. et al., 2019).Ĭryptography is defined as a process of comprehensive information security that involves encoding messages at the sender end to make them incomprehensible. There were two methods for dealing with such a problem: cryptography and steganography (Zaynalov, N. The process of protecting confidential information from unauthorized access has been practiced since ancient times. Improving data communication mechanism and the widespread use of multimedia technology has resulted in rapid advances in everyday life (Abdel Wahab, O. Finally, the embedded text message is identified using a hybrid convolution regression adaptive integrated neural network (CRAINN) approach. The secret key obtained by the embedding algorithm is shared with the message retrieval algorithm on the receiver side to retrieve the message. The encrypted data is implanted inside the cover image using an improved least significant bit steganography method. In the first phase, steganography is normally applied to conceal the encrypted information within the image as a cover. The secure transmission of information over a public network communication channel using steganography occurs in two stages, the first on the sender side and the second on the receiver side. As a result, steganography refers to concealed writing.
Steganography is a powerful tool for concealing information within a cover image so that the concealed message remains undetectable.
#Machine learning text extractor trial
Want to learn more about how a DAM could benefit your team? Sign up for a free Brandfolder trial or schedule a demo with one of our DAM experts here.AbstractThis work's primary goal is to secure the transmission of text hidden within the cover image using steganography over a public network of computers. Once published or distributed, DAMs can analyze how, where and by whom assets are being used.ĭigital asset management platforms are used by marketing, sales and creative teams at some of the world's largest brands. When used for distribution, DAMs encourage asset permissioning and expiration, ensuring only the correct content is available to the correct recipient for a specified amount of time. In addition to meticulous organization within the DAM’s central file system, these files are discoverable using unique identifiers such as their metadata and tags (auto and manual).
#Machine learning text extractor pdf
DAMs are intended to encourage the organization of a company's digital architecture, eliminating the use of buried files and folders typically housed in Google Drive or Dropbox.ĭAM systems scale to store massive quantities of digital assets, including but not limited to: photos, audio files, graphics, logos, colors, animations, 3D video, PDF files, fonts, etc.
#Machine learning text extractor software
A DAM is a software platform brands use to store, edit, distribute and track their brand assets. Digital Asset Management (DAM) has, in recent years, become a critical system for companies of all industries and sizes.
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