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Classify and extract data from scanned documents with TeleForm Reader

Once the scanning is complete, the images are sent to TeleForm Reader for image processing, document classification and data extraction.

The Reader module runs in the background day and night, handling the collection and interpretation of images from the scanner, fax server, and/or a network directory.

Image processing

At this stage, the images will undergo image conversion and pre-processing. Before data can be read from the image, it needs to be cleaned up. During image pre-processing on scanned images, TeleForm Reader will:

  • check the page size and adjust if necessary
  • check orientation and rotate if necessary
  • convert colour images to black and white for best recognition results
  • remove image defects e.g. skewing, noise and stray marks

The process will also involve confirming barcode readability, checking the presence of cornerstones and page linking.

Image classification in TeleForm Reader

TeleForm eliminates the need for manual sorting; it automatically classifies and evaluates the images by comparing them to templates created in the TeleForm Designer. Initially, TeleForm looks for its own identification blocks within the image, if these are not found it can fall back to page comparison, comparing layouts, wording and even logos, to classify the document.

Extract data from scanned documents using OCR, ICR, OMR and barcode recognition

After classification, handprint (ICR), machine print (OCR) and checkbox (OMR) recognition technology will extract data from the scanned document. This will include constrained print fields, tick boxes, variable scales, comments, tick boxes and signatures.

The following document recognition technology is used to extract data from paper surveys and forms:

Intelligent Character Recognition (ICR)

Intelligent Character Recognition (ICR)

To read short hand-print written responses from constrained print fields (one character per box) such as names, dates and numbers.

Image Zone Capture

Image Zone Capture

Predictive key-from-image, coding and image snippet capture can be used to capture drawings or cursive handwriting.

Optical Mark Recognition (OMR)

Optical Mark Recognition (OMR)

OMR technology identifies if a checkbox has been filled, with automatically handling of crossed out and amended responses.

Barcode recognition

Barcode recognition

To recognise all standard barcode types, including 2D matrix barcodes.

Signature dectection

Signature dectection

To confirm if a paper form has been authorised with a signature by calculating the fill percentage of the field.

Simple rules such as alpha, numeric, dictionaries, date ranges, look-ups and mandatory fields will be checked at this stage with any unrecognised fields/characters queued for human review.

These common-sense logic rules are applied to the extracted data to ensure that invalid responses are not exported (e.g. impossible to tick more than one response for a single-choice question). In such situations, TeleForm will queue the offending fields for human verification.

Case studies

Cambridge English

Cambridge English

Expert in language assessment automates paper-based assessments with OMR exam processing and on-screen marking system.

Read more

Northumbria University

Northumbria University

Leading UK university uses TeleForm to design, scan and verify OMR answer sheets from undergraduate and postgraduate examinations.

Health and Safety Executive (HSE)

Health and Safety Executive (HSE)

The Health and Safety Executive (HSE) use LiquidOffice to capture data and manage the automated workflow of up to 200,000 RIDDOR submissions a year.

Request a demo

Request a demo today to discover how TeleForm can reduce manual data entry in your organisation.

During the demo, we will fill-in your existing form, load it onto a high-speed scanner, and scan it directly into TeleForm. This approach gives you a real insight into how the data capture software works.

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