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Enterprise Scanning

i3Capture is a Desktop .NET application that allows a user to electronically capture paper documents, optionally extract metadata from configured zones using OCR, ICR, MICR, OMR and Barcode recognition and create digital image files with associated metadata output file. The application utilizes three stages: Capture, Process and Output.




• Scan : Allows users to scan single or batches of paper documents thereby digitizing large amounts of data.

Scan QC: This is an intermediate stage wherein quality control measures may be taken for image clean-up
Rescan: Image pages can be rescanned if not initially scanned properly. Options are also available to rescan, insert or append pages within an existing document.
Image Clean up: Preprocessing actions can be applied to the entire page or to specified regions of interest as defined. Several preprocessing actions for image clean up are provided; including deskew, border removal, line removal, despeckle, mirror, flip, zoom, smooth, negate and many more.
Document Assembly: Various functions like split, merge, cut, copy and paste can be performed on image pages to group them into documents.

• Processing:

• Recognition :
            • OCR:
Recognize machine-printed uppercase/lowercase alphabetic, numeric, accented characters, many currency symbols, digits, arithmetic symbols, expanded punctuation characters, and more..
             • ICR : Recognizes hand-printed American and European English characters using pre-defined character sets: uppercase, lowercase, mixed case alphabetic, digits, currency (international), arithmetic and punctuation characters (including period, comma, single quote, double quote, and special characters)
            • MICR: Recognition technology to facilitate the processing of the MICR fonts of Cheques. Minimizes chances of error in clearing of Cheques. Easy and faster transfer of funds Provides a secure, high-speed method of scanning and processing information.
             • Barcode: Automatically detects all barcodes on an image or a specific area within the image
• Recognition QC: This step allows users to manually correct extracted data that were not fully recognized correctly during auto recognition due to poor paper quality, poor legibility of fonts on paper, bad scan, color paper, etc.
• Indexing: This step allows users to manually index document by viewing the displayed image. This step may be used optionally when the recognition step is not utilized to extract index data automatically
• Indexing QC: This step allows users to review indexes that were manually entered by users in the Indexing step. This step is optional and may not be required.

• Output formats:

• Global 360 Output Format
• RBE
• Batch Index
• Case 360
• SoluSoft N3 XML
• SoluSoft N3 CSV
• FileNet and Documentum compatible

• Scanner Drivers Supported: The application supports ISIS & TWAIN scanner features like ADF, DPI, Brightness, contrast etc.

  • Single application supports scanning, recognition, validation, verification, indexing & output generation
  • Improved recognition by pre-processing scanned images
  • Ease of use substantially reduces man-hours to configure and operate
  • High accuracy in data extraction
  • Reduced time in result generation
  • Easy integration with other application
  • Forms registration eliminates errors due to size, variation, warping, shrinking, and stretching introduced through scanning

i3Capture is a Desktop .NET application that enables a user to electronically capture paper documents, optionally extract metadata from configured zones using OCR, ICR, MICR, OMR, and Barcode recognition, and create digital image files with an associated metadata output file. The application utilizes three stages: Capture, Process, and Output.

How it works

• Scan : Allows users to scan single or batches of paper documents, thereby digitizing large amounts of data.

Scan QC: This is an intermediate stage where quality control measures may be taken for image clean-up.
Rescan: Image pages can be rescanned if not initially scanned properly. Options are also available to rescan, insert, or append pages within an existing document.
Image Clean up: Preprocessing actions can be applied to the entire page or to specified regions of interest as defined. Several preprocessing actions for image clean-up are provided, including deskew, border removal, line removal, despeckle, mirror, flip, zoom, smooth, negate, and many more.
Document Assembly: Various functions like split, merge, cut, copy, and paste can be performed on image pages to group them into documents.

• Processing

• Recognition :
            • OCR:
Recognizes machine-printed uppercase/lowercase alphabetic, numeric, accented characters, many currency symbols, digits, arithmetic symbols, expanded punctuation characters, and more.
             • ICR : Recognizes hand-printed American and European English characters using predefined character sets: uppercase, lowercase, mixed-case alphabetic, digits, currency (international), arithmetic, and punctuation characters (including period, comma, single quote, double quote, and special characters).
            • MICR:  Utilizes recognition technology to facilitate the processing of the MICR fonts on cheques. Minimizes the chances of errors in clearing cheques. Enables easy and faster transfer of funds. Provides a secure, high-speed method of scanning and processing information.
             • Barcode: Automatically detects all barcodes on an image or in a specific area within the image.
• Recognition QC: This step allows users to manually correct extracted data that were not fully recognized correctly during auto-recognition due to poor paper quality, poor legibility of fonts on paper, bad scans, color paper, etc.
• Indexing: This step allows users to manually index documents by viewing the displayed image. This step may be used optionally when the recognition step is not utilized to extract index data automatically.
• Indexing QC: This step allows users to review indexes that were manually entered by users in the Indexing step. This step is optional and may not be required.

• Output formats

• Global 360 Output Format
• RBE
• Batch Index
• Case 360
• SoluSoft N3 XML
• SoluSoft N3 CSV
• FileNet and Documentum compatible

• Supported Scanner Drivers: The application supports ISIS & TWAIN scanner features such as ADF, DPI, Brightness, contrast, etc.

  • "A single application supports scanning, recognition, validation, verification, indexing, and output generation.
  • Improved recognition is achieved through pre-processing scanned images.
  • Ease of use substantially reduces the man-hours required to configure and operate it.
  • High accuracy is achieved in data extraction.
  • Reduced time is needed for result generation.
  • It can be easily integrated with other applications.
  • Forms registration eliminates errors caused by size, variation, warping, shrinking, and stretching introduced during scanning."