Methods and systems for automatically identifying IR security marks in a document based on halftone frequency information
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.
1. A method for detecting Infrared (IR) security mark based on unknown halftone frequency information, the method comprising:
receiving a document from a user, comprising an IR security mark;
scanning the document;
detecting the IR security mark by:
estimating one or more halftone frequencies associated with the IR security mark portion;
based on the estimation, classifying the IR security mark portion into a background region and the IR marked region comprising the IR security mark;
identifying the IR security mark; and
comparing the identified IR security mark with one or more pre-stored IR security marks to ascertain the presence of the IR security mark in the document for further assessment.
2. The method of claim 1 , further comprising, providing a user interface to the user to input a location of the IR security mark in the document.
3. The method of claim 1 , further comprising, extracting the IR security mark.
4. The method of claim 1 , further comprising, reconstructing pixels falling in the IR marked region to identify content in the IR security mark.
5. The method of claim 1 , further comprising, performing an Optical Character Recognition (OCR) to identify the content in the IR security mark.
6. The method of claim 1 , further comprising, estimating the one or more halftone frequencies associated with the IR security mark portion using one or more methods.
7. The method of claim 1 , further comprising, comparing the estimated one or more halftone frequencies with threshold halftone frequencies to determine whether pixels falling in the IR security mark portion represent the background region or the IR security mark.
8. The method of claim 1 , further comprising, if the estimated halftone frequency is less than a threshold value, then classifying pixels failing in the IR security mark portion as a part of the IR security mark.
9. The method of claim 1 , further comprising, calculating threshold halftone frequencies using a pre-defined formula.
10. The method of claim 1 , wherein further assessment comprises at e one of:
determining whether the document is a confidential document;
determining whether the document is an original document; or
determining whether the document is a genuine document.
11. A multi-function device for detecting Infrared (IR) security mark based on halftone frequency information, the multi-function device comprising:
an automatic document handler (ADH) for receiving a document from a user, comprising an IR security mark;
a scanner for scanning the document; and
an IR security mark detection module for:
estimating one or more halftone frequencies associated with the IR security mark portion;
based on the estimation, classifying the IR security mark portion into a background region and the IR security mark;
identifying the IR security mark;
identifying pixels falling in the IR security mark portion to identify the content in the IR security mark; and
comparing the identified content with one or more pre-stored IR security marks to ascertain the presence of the IR security mark in the document for further assessment.
12. The multi-function device of claim 11 , further comprising, a user interface provided to the user to input a location of the IR security mark in the document.
13. The multi-function device of claim 11 , wherein the IR security mark detection module is for reconstructing the identified pixels in the IR security mark using one or more morphological operations.
14. The multi-function device of claim 11 , further comprising an Optical Character Recognition (OCR) module to identify the content in the IR security mark.
15. The multi-function device of claim 11 , wherein the IR security mark detection module is for comparing the estimated one or more halftone frequencies with threshold halftone frequencies to determine whether pixels falling in the IR security mark portion represent the background region or the IR security mark.
16. The multi-function device of claim 11 , wherein the IR security mark detection module is for, if the estimated halftone frequency is less than a threshold value, then classifying pixels failing in the IR security mark portion as a part of the IR security mark.
17. The multi-function device of claim 11 , wherein the IR security mark detection module is for calculating threshold halftone frequencies using a pre-defined formula.
18. The multi-function device of claim 11 , wherein further assessment comprises at least one of:
determining whether the document is a confidential document;
determining whether the document is an original document; or
determining whether the document is a genuine document.
19. A method for detecting Infrared (IR) security mark based on unknown halftone frequency information, the method comprising: at a multi-function device:
receiving a document from a user comprising an IR security mark;
providing a user interface to a user to input a location of the IR security mark in the document;
scanning the document comprising the IR security mark;
calculating one or more halftone frequencies associated with the IR security mark portion;
based on the calculation and comparison, classifying the IR security mark portion into a background region and the IR security mark;
identifying the IR security mark from the IR security mark portion;
identifying pixels falling in the IR security mark using one or more morphological operations;
performing an Optical Character Recognition (OCR) to identify the text in the IR security mark;
matching the identified text with one or more pre-stored IR security marks; and
based on the matching, successfully detecting the presence of the of IR security mark in the document.
20. The method of claim 19 , further comprising, calculating threshold halftone frequencies using a pre-defined formula.
21. The method of claim 19 , further comprising, comparing the estimated one or more halftone frequencies with threshold halftone frequencies to determine whether pixels falling in the IR security mark portion represent the background region or the IR security mark.