I have noticed inconsistency in the Sikuli X text recognition and matching, especially when text on the screen/region are integers. Below are the steps to reproduce the problem scenario:
Step2: To the below sikuli script, provide region coordinates of the 'TextOnTheScreen.png' image which is on your web browser. Note! region coordinates must be significantly bigger because you will zoom-in & zoom-out of the visible content on your browser in-order to carry-out multiple text recognition tests.
--------------------------------------------------------
r = Region(“TextOnTheScreen”)
t1 = "534438"
t2 = "534177"
t3 = "4438"
t = t2
m = r.exists(t,0)
if m:
if m.text() == t:
popup("Exact match")
else:
popup(m.nearby().text())
else:
popup("Nothing found at all!")
--------------------------------------------------------
Step3(TestCase1): Now, run the above sikuli script with t = t2. You might notice one or more of the following:
- Integers such as 7 & 8 are incorrectly recognised
- All the integers-as-text are recognised correctly
- Only few integers are recognised correctly
Questions:
- Does the text recognition depend on how much OCR gets trained?
- Does the font-type & font-size matter?
- Should there be a mechanism for validating an exact-match for text recognition?
Step4(TestCase2): Now, back to your browser where the 'TextOnTheScreen.png' image is visible. Try to zoom-out (ctrl&-) the image and run the above sikuli script with t = t2. You should now notice variation in the text recognition results.
Step5(TestCase3): Repeat 'TestCase2' with different zoom-levels in your browser, you might get varied text recognisation results.
Step6(TestCase4): Now, run the above sikuli script with t = t3. You might notice that integers-as-text are not recognised at all or with luck it might recognise some integers-as-text?
Hope this provide some test-cases for troubleshooting inconsistency in text/integer recognition.
Questions:
- Should text and integer recognition be independent operations? Should there be a choice for the application developer if she/he wants to combine and/or isolate such operations where-seen-fit? Would such separation lead to reduced-OCR-complexity/accuracy/better-control over the OCR?
- How would one reliability obtain an exact string match for e.g. with click("String") operation?
I have noticed inconsistency in the Sikuli X text recognition and matching, especially when text on the screen/region are integers. Below are the steps to reproduce the problem scenario:
Step1: In your web browser open 'TextOnTheScree n.png' from the following web-link (http:// qoydkw. bay.livefilesto re.com/ y1pSr0oDju9ndvM zJJfo_qWD2qEvMd DDwoKquMNWWkUYA xgrsVcXmETY8yW_ LqIieOKXgwlTt8y xe8eQDY- SCySCFljo59mSSI C/TextOnTheScre en.png? psid=1)
Step2: To the below sikuli script, provide region coordinates of the 'TextOnTheScree n.png' image which is on your web browser. Note! region coordinates must be significantly bigger because you will zoom-in & zoom-out of the visible content on your browser in-order to carry-out multiple text recognition tests. ------- ------- ------- ------- ------- ------- ------- “TextOnTheScree n”) m.nearby( ).text( )) ------- ------- ------- ------- ------- ------- -------
-------
r = Region(
t1 = "534438"
t2 = "534177"
t3 = "4438"
t = t2
m = r.exists(t,0)
if m:
if m.text() == t:
popup("Exact match")
else:
popup(
else:
popup("Nothing found at all!")
-------
Step3(TestCase1): Now, run the above sikuli script with t = t2. You might notice one or more of the following:
- Integers such as 7 & 8 are incorrectly recognised
- All the integers-as-text are recognised correctly
- Only few integers are recognised correctly
Questions:
- Does the text recognition depend on how much OCR gets trained?
- Does the font-type & font-size matter?
- Should there be a mechanism for validating an exact-match for text recognition?
Step4(TestCase2): Now, back to your browser where the 'TextOnTheScree n.png' image is visible. Try to zoom-out (ctrl&-) the image and run the above sikuli script with t = t2. You should now notice variation in the text recognition results.
Step5(TestCase3): Repeat 'TestCase2' with different zoom-levels in your browser, you might get varied text recognisation results.
Step6(TestCase4): Now, run the above sikuli script with t = t3. You might notice that integers-as-text are not recognised at all or with luck it might recognise some integers-as-text?
Hope this provide some test-cases for troubleshooting inconsistency in text/integer recognition.
Questions: OCR-complexity/ accuracy/ better- control over the OCR?
- Should text and integer recognition be independent operations? Should there be a choice for the application developer if she/he wants to combine and/or isolate such operations where-seen-fit? Would such separation lead to reduced-
- How would one reliability obtain an exact string match for e.g. with click("String") operation?