What are the best parameters for image recognition? I currently have them set at the defaults which are as follows:
Image Search Time: 1.800 seconds
Precise Image Tolerance: 1
Standard Image Tolerance: 45
The reason I ask this is for this reason. I’ve built a pretty complex OCR script that recognizes via search rectangles what image is what. It’s able to do this no matter what image is behind the search rectangle. Lets say for example these are the images. An “A”, a “B” and a “C”. Now it may display “A”, “B” and “C” one time and the next time it may display “A”, “C” and “B”. Each image gets a search rectangle drawn around it, one at a time. Once the image is found, it moves to the next one. Now again these are not “Letters” as I have provided in my example. So “readtext” will not work, these are “images” of “Letters”.
Anyways, each image has different colors, different lines, different patterns on them, sometimes the pattern is the same. I have noticed recently that sometimes “A” is being recognized as a “C” or vice versa, as the pattern may be similar (but not exactly) but the color is completely different. It’s driving me bonkers at trying to figure this out. I also have my Capture Mode via the Viewer options set as follows:
Display Capture rectangle border “checked”
Detect pulsing images when capturing “checked”
Default Search Type: Text (should this be precise or tolerant maybe?)
My Platform is set to Generic OCR and my Text Engine is OCR Search.
I also have my “Connection” to my VNC (adderlink) set at “256” colors to speed up “actions”. Would increasing the color to fix this?
My Connection Type is also “Legacy (3.3)”. Would changing this to “Standard (3.8)” help?
I’m at my wits end and need help guys. This complex script works great, most the time, but there are those times when it finds things and says they are one thing, when they are not.
Oh one last thing, I have unchecked “ALL” the VNC Encodings and the only one that has been checked for a while now is “Raw”, which is grayed out and can not be unchecked.