2023:Detect Signature (Value Extractor): Difference between revisions

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The '''''Detect Signature''''' extractor uses zonal information to detect whether a document is signed or not.  
The '''''Detect Signature''''' extractor uses zonal information to detect whether a document is signed or not.  
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'''PLEASE NOTE:''' '''''Detect Signature's''''' setup is very similar to the '''''Read Zone''''' extractor.
* This article presumes you are familiar with the '''''Read Zone''''' extractor and its setup.
* If you are not familiar with '''''Read Zone''''', you may find it helpful to review the [[Read Zone]] article prior to following the tutorial in this article.


== About ==
== About ==
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This extractor shares some similarities to the '''''Read Zone''''' extractor. It is recommended you become familiar with the different aspects of the '''''Read Zone''''' extractor before configuring the '''''Detect Signature''''' extractor. For more information, please see the [[Read Zone]] article.
'''BE AWARE:''' '''''Detect Signature's''''' setup is similar to the '''''Read Zone''''' extractor in that it uses the same '''''Location''''' properties the '''''Read Zone''''' extractor uses to draw the an extraction zone.
* This article presumes you are familiar with the '''''Read Zone''''' extractor and its setup.
* If you are not familiar with '''''Read Zone''''', you may find it helpful to review the [[Read Zone]] article prior to following the tutorial in this article.
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Revision as of 16:59, 29 December 2023

This article is about an older version of Grooper.

Information may be out of date and UI elements may have changed.

20252023

The Detect Signature extractor uses zonal information to detect whether a document is signed or not.

About

Detect Signature is an Extractor Type specifically designed to detect if a signature is present or not. It's very similar to the Read Zone extractor in that you use one of the four Location options (Fixed Region, Relative Region, Shape Region or Text Region) to draw an extraction zone on a geographic region of the page.

However, rather than returning the OCR or native text data within the zone (as Read Zone does), an OMR-style extraction is performed. Think about a signature line. If you drew a box around where you expect someone to sign, nothing would be in the box if it was not signed. But regardless of the signature, some of the box would be filled in if it were.

The same basic concept applies for the Detect Signature extractor. Detect Signature determines this by a simple pixel count of the percentage of black pixels in the zone. Essentially, the extractor counts the number of black pixels in the extraction zone. If the number of black pixels falls above a certain percentage threshold, the extractor returns a value of "Signed" and if below it returns a value of "Not Signed".

BE AWARE: Detect Signature's setup is similar to the Read Zone extractor in that it uses the same Location properties the Read Zone extractor uses to draw the an extraction zone.

  • This article presumes you are familiar with the Read Zone extractor and its setup.
  • If you are not familiar with Read Zone, you may find it helpful to review the Read Zone article prior to following the tutorial in this article.

How To


In this example, a Value Reader is configured to return whether or not the "Senior Cow Representative Signature" is present on this Application for Cow Ownership form, using Detect Signature.