Confidence values are calculated on several factors depending upon recognition characteristics. They should only be considered as relative and only to other results of the same type.
The Confidence property of the Result object specifies the confidence value the recognition engine uses for the analysis of the ICR/OCR character, text line, or text block. The value range is 0 - 100, where 100 is the greatest confidence.
How Confidence Value is Determined
When an image is submitted to SmartZone ICR/OCR, the SmartZone ICR/OCR engines match the character to character sets and field type, and regular expressions or data validation lists you've defined to determine the best recognition results.
| Y | 80% | ||
| U | 71% | ||
| Y | = | V | 65% |
| v | 40% | ||
| u | 27% |
Increase Confidence Values through Methods and Properties
Set and modify the properties of the Reader class as needed prior to calling the Reader (ICR: Reader; OCR: Reader) for zonal recognition of characters.
For more information on Segmentation, see the Segmentation topic.
The SmartZone Result object (ICR: Result; OCR: Result) is the base class for all result objects including the following:
- TextBlockResult (ICR: TextBlockResult; OCR: TextBlockResult)
- CharacterResult (ICR: CharacterResult; OCR: CharacterResult)
- TextLineResult (ICR: TextLineResult; OCR: TextLineResult)