Abstract: 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.

Abstract: 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.

Abstract: The present disclosure discloses methods and systems for adjusting text colors in scanned documents. The method includes receiving a document for scanning from a user. Then, the document is scanned to generate scanned data. The scanned data is segmented into an image layer and one or more text layers, wherein the one or more text layers include textual content. Thereafter, the text color of the textual content in each text layer is identified. Then, the identified text color of the textual content in the text layer is compared with one or more pre-defined colors. Based on comparison, the text color of the textual content in each text layer is adjusted to match with the one or more pre-defined colors thereby generates a modified text layer. Finally, the modified text layer and the image layer are combined to create a final scanned document.

Abstract: The present disclosure discloses methods and systems for automatically determining one or more optimal scan settings to manage an output size of a document submitted for scanning at a multi-function device. The method includes receiving the document for scanning from a user, wherein the document includes one or more pages having content. As scanning activity is progressed at the multi-function device, an output file size is displayed to the user via a user interface in real-time. Then, an input from the user is received on the displayed output file size. Based on the input from the user, one or more scan settings are determined to be applied on the already scanned pages and remaining pages of the document to be scanned, to manage the output size of an output scanned file to be generated. Thereafter, the determined one or more scan settings are applied such that the output size of the scanned file is in accordance with the requirement. Finally, the scanned file is output of the required size.

Abstract: The present disclosure discloses methods and systems for adding one or more annotations from a printed version of a document to a digital version of the document. The methods and systems include receiving the printed document with one or more annotations, which represent review comments of a reviewer. The printed document including one or more annotations is scanned to obtain a scanned document. Thereafter, the scanned document is compared with the original digital version of the document to identify the one or more annotations. The identified one or more annotations are then extracted and added to the digital version of the document to obtain a new digital version, which can be used for changes by the user or any other user.

Abstract: A computer-implemented method and system for processing a document page is based on text and non-text detections in an image path. An object block is generated for each image content identified within an input page. the blocks are extracted from the input document for downstream processing. Then, the object blocks are classified based on whether the content is text or non-text. The extracted non-text objects—which are specified by their bounding boxes—are processed separately from the rest of the content. The processing is performed on the text content blocks in parallel. However, when error diffusion is employed, the error diffusion is performed sequentially on the non-text content blocks to avoid stitching artifacts between individually error diffused patches in non-text areas.

Abstract: 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.

Abstract: The disclosure discloses methods and systems for handling drifting of colors in printing. The method includes receiving a document including the image for printing, the image includes one or more gray and non-gray portions. An input from a user to selectively adjust the color of the gray portions of the image is received. The gray portions of the image are identified. Then, color values associated with the identified gray portions of the image are determined. Based on the user input, the determined color values associated with the gray portions of the image are selectively adjusted, without affecting non-gray color portions of the image to generate an updated image. The updated image is printed and the printed image includes adjusted color for the gray portions of the image such that gray color in the printed image is consistent with gray color of the image in the document.

Abstract: 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.

Abstract: 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.

Abstract: A computer-implemented method and system for processing a document page is based on text and non-text detections in an image path. An object block is generated for each image content identified within an input page. the blocks are extracted from the input document for downstream processing. Then, the object blocks are classified based on whether the content is text or non-text. The extracted non-text objects—which are specified by their bounding boxes—are processed separately from the rest of the content. The processing is performed on the text content blocks in parallel. However, when error diffusion is employed, the error diffusion is performed sequentially on the non-text content blocks to avoid stitching artifacts between individually error diffused patches in non-text areas.

Abstract: A method for detecting background color of a scanned document uses dynamic weights to adjust components of the L*a*b* color space. In accordance with one aspect of the disclosure, the L*a*b* values belonging to pixels within a block are applied to a series of thresholds. In response to the L*a*b* values meeting the thresholds, a given color pixel within the block is reclassified as being monochromatic. The weight values are dynamically updated based on at least one of the L*a*b* values of the given pixel. The thresholding is repeated for remaining pixels in the document. Using the classified pixels, an output document is generated where the background pixels are monochromatic. The output document is transmitted to a display device in communication with the server computer.

Abstract: A method for detecting background color of a scanned document uses dynamic weights to adjust components of the L*a*b* color space. In accordance with one aspect of the disclosure, the L*a*b* values belonging to pixels within a block are applied to a series of thresholds. In response to the L*a*b* values meeting the thresholds, a given color pixel within the block is reclassified as being monochromatic. The weight values are dynamically updated based on at least one of the L*a*b* values of the given pixel. The thresholding is repeated for remaining pixels in the document. Using the classified pixels, an output document is generated where the background pixels are monochromatic. The output document is transmitted to a display device in communication with the server computer.

Abstract: A document processing system produces a digital representation of an original image by determining a background level for white space of the original image. Using the background level, the system identifies pixels not belonging to the white space. The system generates a binary image of the original image based from the identified pixels. The system then identifies image content surrounded by the white space in the original image using the binary image. Next, the system generates a block for each image content and extracts each block from the original image. After processing each block, the system reapplies the processed blocks to a blank canvas to generate the digital representation.

Abstract: Methods and systems for generating a mixed raster content (MRC) format file are disclosed. The method includes receiving an input document. The input document is segmented into an image layer and a text layer with a color mask information. A determination is made whether a text group in the text layer has a color different than the color mask information. Upon an affirmative determination, an ascertainment is made whether the color mask is above a threshold value. An average of the color mask is calculated and based on the calculation, a new color is applied to the text group to modify the text layer. Then, the modified text layer is compressed using a first compression scheme, the image layer is compressed using a second compression scheme, the compressed the modified text layer and the image layer are integrated to generate an image data in an MRC file format.

Abstract: The present disclosure discloses methods and systems for generating a mixed raster content (MRC) format file for a single background color image document. The method includes receiving an input document at an image capturing device. The input document is segmented into an image layer and a text layer. Then, image content in the image layer is determined. Upon an affirmative determination, a new image layer is generated by adding the determined image content to a white background image layer using a morphological operation. The text layer and the new image layer is compressed using respective compression schemes. The compressed text layer and the new image layer are integrated to generate image data in the MRC file format. The generated image data is stored in a memory device.

Abstract: A document processing system produces a digital representation of an original image by determining a background level for white space of the original image. Using the background level, the system identifies pixels not belonging to the white space. The system generates a binary image of the original image based from the identified pixels. The system then identifies image content surrounded by the white space in the original image using the binary image. Next, the system generates a block for each image content and extracts each block from the original image. After processing each block, the system reapplies the processed blocks to a blank canvas to generate the digital representation.

Abstract: Examples of systems and methods for enhancing image quality for documents with highlighted portions are described. A highlighted portion from a received input is detected. The highlighted portion is automatically segmented as a text layer and the remaining portion is further segmented as a separate text layer and an image layer. A resolution is assigned to the highlighted portion, wherein the resolution assigned to the highlighted portion is greater than the respective resolution for the text layer and the image layer, to improve quality of the highlighted portion. The text layer corresponding to the highlighted portion and the separate text layer and the image layer are integrated together to generate a scanned document in a Mixed Raster Content (MRC) file format.

Abstract: Examples of systems and methods for enhancing image quality for documents with highlighted portions are described. A highlighted portion from a received input is detected. The highlighted portion is automatically segmented as a text layer and the remaining portion is further segmented as a separate text layer and an image layer. A resolution is assigned to the highlighted portion, wherein the resolution assigned to the highlighted portion is greater than the respective resolution for the text layer and the image layer, to improve quality of the highlighted portion. The text layer corresponding to the highlighted portion and the separate text layer and the image layer are integrated together to generate a scanned document in a Mixed Raster Content (MRC) file format.

Abstract: A method and system are provided for optical character recognition (OCR) of multi-language content. The method includes extracting a text portion from an image received from a user-computing device. The text portion comprises a plurality of keywords associated with a plurality of languages. The method further includes segmenting the plurality of keywords into a plurality of layers. Each layer of the plurality of layers comprises one or more keywords which are associated with a language. The method further comprise generating an OCR output of each of the plurality of layers based on the language associated with the one or more keywords in each of the plurality of layers. The method further comprises generating an electronic document of the received image based on the generated OCR output of each of the plurality of layers. The method further includes transmitting the generated electronic document to the user-computing device.