PrizmDoc Hybrid Viewing: Reduce server viewing requirements and streamline document processing
Enable your employees to remain productive
throughout the document management process.
Learn how SmartZone uses a regular
expression engine integrated into the recognition engine to achieve the best possible accuracy
on data that can be defined by a regular expression.
The tale of how an underdog is going head-to-head with a tech giant (and winning).
What are the best quality images to use when processing form data and recognition?
In all cases, you’ll want to have your images as clear and as clean as possible. For any particular procedure, please consider the following: OCR and ICR: Capture images in at least 300 DPI resolution. Ideally, working in black and white will allow the objects of interest on your image to be better defined and recognized. Free the image form all noise as much as possible. As if a human was reading it, you’ll want the text objects on the image to be as legible as possible. For ICR, make sure that the characters are printed (no cursive text, etc). Barcode recognition: As with OCR and ICR, capture images in at least 300 DPI and working with black and white content can provide excellent results. You’ll also want to make sure that the bars in the barcodes are clearly defined on the image and are not mal-formed (for example, the barcodes should have the proper start and stop sequence, etc). As always, clear as much noise from the image as possible. Forms matching and registration: As with the prior 2 items above, capture your documents in at least 300 DPI. Make sure that your resolution is consistent between your form templates and incoming batch images as well. Form templates should only contain data that is common to every image that is being processed (i.e. – Form fields, the text that appears on the blank form itself, etc). The template should not have filled-in field information as this will affect the forms matching process.