Esker Image Recognition Module
Transform paper documents into editable & searchable digital files
How it works
Extracting useful data
from documents
Searching for the best OCR text recognition software for your company? The Esker Image Recognition Module combines optical character recognition (OCR), optical mark recognition (OMR), bar code recognition and handwriting recognition (ICR) to extract data from the image of any faxed or scanned document.
How does OCR image recognition technology work? When scanned, faxed or emailed purchase orders, invoices, reminders, account statements and payments are processed via an OCR software program; the OCR engine translates image text and bar codes, making them available for content analysis.
Key features
Understanding the capabilities of the
Esker Image Recognition Module
- Extracts data from inbound fax & image documents
- OCR-A, OCR-B, E-13B (MICR)
- Extracts data for use with other applications
- Two ICR (handprint) recognition modules
- Extracts routing information & automatically delivers document
- OMR (checkbox)
- Two pre-made voting OCR (print) recognition modules
- Bar code recognition (1D & 2D)
- Access to three individual OCR engines for optimization
Technology types
Bar code recognition
A bar code represents characters by sets of parallel bars of varying thickness and separation that are read optically by transverse scanning. Bar code recognition software automatically detects and decodes popular types of bar codes in any direction on scanned documents. The software captures product and customer data, saving the details to your computer.
Optical mark recognition (OMR)
In the OMR process, an optical mark reader detects marks on a scanned form. OMR software is a computer software application that utilizes an image scanner to process surveys, attendance sheets, tests, checklists and other printed forms. OMR software is a highly reliable and dedicated technique for reading and scanning data accurately.
Double voting
Double voting technology enables the parallel use of OCR engine plus a voting system. Alternatively, either one of the OCR engines may be individually applied on a field level basis to increase recognition accuracy.
Multi-threading for multi-processor architecture
This technology features multiple numbers of threads per operation for optimal throughput on multi-core CPUs for applications that deal with large numbers of images.
Optical character recognition (OCR)
OCR is the process of extracting words (and possibly layout and formatting information) from image files such as faxes and PDFs attached to emails, and converting them to text. After an image has been scanned into a computer, OCR software translates text images into real text that the computer can read. OCR works best on typed text, either in cases when an original printout has been missing or in scanning printed or typewritten sheets.
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