Xerox Corporation

Haripriya Chandran

Sainarayanan Gopalakrishnan

Rajasekar Kanagasabai

Vignesh Doss

Anand Arokia Raj Antony Muthu Rayar

Ravindranath Mannuru

Packiya Lakshmi Balusamy

The present disclosure discloses methods and systems for detecting tampering of an infrared (IR) security mark in a document. The method includes receiving the document including the IR security mark, wherein the IR security mark further includes one or more security texts and/or images. The document is scanned to generate scanned data. A portion of the scanned data including the IR security mark is segmented into a plurality of blocks such as blocks of size 32*32. Thereafter, a ratio of white to black pixels is calculated for each block. The calculated ratio is compared with a known threshold for each block. Upon comparison, the IR security mark is detected as a tampered security mark.

Methods and systems for detecting tampering of an IR security mark

The present disclosure discloses methods and systems for detecting an IR security mark in a document based on known color information and halftone frequency information. The method includes receiving a document from a user, including an IR security mark. Then, location information, color information and halftone frequency information are received from the user. The document is scanned. Based on the color information and the location information, the IR security mark is extracted from the scanned document. After this, halftone frequency information of the extracted IR security mark is verified. Based on the verification, text in the extracted IR security mark is identified and is then compared with one or more pre-stored IR security marks to ascertain whether the IR security mark in the document is an authentic security mark.

Methods and systems for automatically identifying IR security marks based on known halftone frequency and color information

The present disclosure discloses methods and systems for identifying blank spaces in a document for embedding an Infrared (IR) mark in the document. The method includes receiving the document for printing from the user. A user interface is provided to the user that allows the user to select a pre-defined option. Upon selection of the pre-defined option, inputs from the user on the IR mark is received. Based on the inputs from the user, a specified portion of the document is extracted for processing. Then, blank spaces are checked in the extracted portion based on a size of the IR mark to be embedded in the document. Based on the check, the IR mark is embedded in the identified blank space. An output document is outputted/printed including the IR mark in the specified portion of the document. The IR mark is embedded such that there is no content loss.

Methods and systems for identifying blank spaces in documents for embedding IR marks

The disclosure discloses methods and systems for securing confidential content of a document. The method includes receiving a print request to print the document. A user interface is provided to the user having a secure option, the secure option further includes a partial secure option to secure partial content of the document. Based on the selection of the partial secure option, a selection of a confidential area including the confidential content in the document is received. Based on the selection, one or more coordinates of the confidential area are calculated. Then, an infrared (IR) mark is embedded in the document. While embedding the IR mark, the one or more coordinates of the confidential area including the confidential content in the document is embedded. Finally, a printed document is output with the IR mark including the coordinates of the confidential area for later identification of the confidential content and/or use such as masking.

Methods and systems for securing confidential content of a document while printing and/or generating a copy of the document

The present disclosure discloses methods and systems for automatically detecting Infrared (IR) security mark based on unknown halftone frequency information. The method includes receiving a document from a user including an IR security mark. The document is scanned. Then, one or more halftone frequencies associated with the IR security mark portion are estimated. Based on the estimation, the IR security mark portion is classified into a background region and the IR marked region including the IR security mark. The IR security mark is extracted and pixels falling in the IR marked region are reconstructed to identify content in the IR security mark. Finally, the identified content is compared with one or more pre-stored IR security marks to ascertain the presence of the IR security mark in the document for further assessment. This way, the method automatically detects the IR security mark in the document.

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Kulathur Chai, India

Haripriya Chandran