![]() ![]() This allows you to quickly switch between custom and default settings. But, you can still obtain the default settings, including the default font collection, via the OCRObject.DefaultOptions property. If the custom font collection is used during character recognition, all fonts of the default font collection will be ignored. To obtain this object, call the CreateOptions method of the OCRObject object. To create a custom font collection and change other recognition settings, use methods and properties of the OCROptions object. You can also create a custom font collection with any combination of installed fonts, sizes, styles and colors. The default font collection is Arial, Courier New, Fixedsys, Garamond, MS Sans Serif, Segoe UI, System, Tahoma and Times Roman each in five sizes (8, 10, 12, 14, 16) and four styles (regular, bold, italic and underlined). TestComplete creates and uses font collections to limit the readable fonts to the ones needed for the tested application. Recognizing any installed font on a Windows PC with dozens or even hundreds of installed fonts would waste valuable processing time. To successfully read onscreen text, TestComplete has to create a common ground between the installed Windows fonts and the captured image of the application text. See Using Optical Character Recognition - Tips for instructions on how to change the system’s font settings. By default, Windows uses the ClearType smoothing method, and because of this, TestComplete is unable to recognize text displayed with the default font settings. However, this decreases the accuracy of optical text recognition, so, we recommend that you set the Standard smoothing method or disable font smoothing. It serves to enhance the text’s appearance and draws letters using multiple colors rather than one color. Also, TestComplete does not recognize text written with special-symbol fonts like Wingdings, Webdings or Marlett.įont smoothing plays an important role in text recognition. Recognition of native-language characters, for instance, Chinese, Japan or Korean hieroglyphs or Cyrillic characters, is not supported. TestComplete can recognize 52 lower-case and upper-case Latin characters, 10 digits, and 31 special characters in almost any font, size or style. ![]() You can find more sample scripts in the OCRObject.GetText and OCRObject.FindRectByText topics. You can pass the OCROptions object that stores the recognition settings you have configured to both of these methods.īelow is a simple, one-line TestComplete script that grabs an image of the active window and posts all readable text found in it to the test log. If it can find the text, it will return True and the FoundLeft, FoundTop, FoundHeight, FoundWidth, FoundX and FoundY properties of the OCRObject will contain the parameters of the region where the text was found. FindRectByText takes a string parameter and tries to locate that text in the image. GetText returns all OCR readable text from the image. To start the character recognition process, call either the OCRObject.GetText method or the OCRObject.FindRectByText method. It accepts a captured screen image that contains the text to be recognized and returns the OCRObject object that is used to perform the text recognition. The OCR object only contains one method: CreateObject. This object is available if the OCR plugin is installed. The TestComplete OCR feature can be scripted using the OCR object. Another example of the character recognition usage in testing is searching for the needed text within the captured image of an application screen. ![]() This text can be used to create solid, reliable tests. TestComplete can capture an image of an application screen and use OCR to “read” the text in it and convert it to usable ASCII or Unicode text. D.Optical Character Recognition is the process of translating images of typewritten text into computer readable text. Other varieties, softer, exist as the symbol and sign of the victory of Islam (AZ) often used by those interested Wingdings is also used in some video games like Undertale where a character named W. Windging is known through many more or less controversial memes, the best known being that of the planes of September 11, the goal was to register the flight number of one of the aircraft in a document world and to translate the text into Wingdings, Internet users then suddenly discovered on their screen the representation of a plane going towards 2 towers (Q33) and a skull and crossbones followed by a thumbs up and the star by david (NYC), which did not leave indifferent some Internet users who had fun popularizing it, provoking astonished or scandalized reactions from the victims of the hoax despite the desire for the usefulness of its characters by its founders. ![]() Wingdings popularity, controversies, memes ![]()
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