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Java Forum / General / September 2006Uses for Screen OCR Technology ???
I have technology that is similar to OCR technology except that it determines rather than estimates its results. The main advantage over conventional OCR technology is that it is much more accurate with very small fonts. Current testing indicates that it can achieve 100% accuracy with fonts as small as 6 point. It also works with both types of font smoothing. I have thought of a few different uses for this technology, I want to see if anyone here can come up with any more uses.  SignaturePatented SeeScreen enables programs to see anything on the computer display screen www.SeeScreen.com > I have technology that is similar to OCR technology except that it > determines > rather than estimates its results. The difference being that the former is an exact value with certainty, and the latter is a guess or approximation? > The main advantage over conventional OCR > technology is that it is much more accurate with very small fonts. Current > testing indicates that it can achieve 100% accuracy with fonts as small as > 6 > point. Does it work with the fonts "WingDing", "Symbols", or my specially crafted "all characters are invisible" font? > It also works with both types of font smoothing. Are there only 2 types? > I have thought of a few different uses for this technology, I want to see > if > anyone here can come up with any more uses. Might help if you posted the uses you came up with, so we'll know which ones are "more", and which ones are "already thought of those". Might be useful for turning a scanned image of a document into a text file. - Oliver >> I have technology that is similar to OCR technology except that it determines >> rather than estimates its results. [quoted text clipped - 9 lines] > Does it work with the fonts "WingDing", "Symbols", or my specially crafted > "all characters are invisible" font? It works with any machine generated character glyphs that have visible pixels on the screen. I don't know what your {"all characters are invisible" font} is, but if the foreground and background colors are identical, then it will not work. No character recognition technology can possibly work if there is nothing to recognize. >> It also works with both types of font smoothing. > [quoted text clipped - 9 lines] > > - Oliver >> Does it work with the fonts "WingDing", "Symbols", or my specially >> crafted "all characters are invisible" font? [quoted text clipped - 4 lines] > identical, then it will not work. No character recognition technology can > possibly work if there is nothing to recognize. I thought I recall you exploring peering directly into RAM, so perhaps under some conditions you could have determine what text had been entered into a GUI control, even if such text were invisible. I'll now assume that you don't do that, and base your recognition entirely on the set of pixels captured. In my WingDing font, the character for capital A looks like a right hand forming the V sign (http://en.wikipedia.org/wiki/V-sign). In some other font, that exact same glyph might be used for the character lowercase zeta. Without peering into RAM, how would you know which of the two fonts are being used to tell wether to recognize such as glyph as A or zeta? - Oliver >>> Does it work with the fonts "WingDing", "Symbols", or my specially >>> crafted "all characters are invisible" font? [quoted text clipped - 10 lines] > don't do that, and base your recognition entirely on the set of pixels > captured. Yes there are methods where this works some of the time. The biggest case where this never works is when the text is first written to a memory bitmap, and the bitmap is then copied to the screen. > In my WingDing font, the character for capital A looks like a right hand > forming the V sign (http://en.wikipedia.org/wiki/V-sign). In some other font, [quoted text clipped - 3 lines] > > - Oliver If there is even a single pixel that is much as a single shade of difference, my technology can know with certainty which is which. There are various heuristics that work with great reliability if two glyphs are identical. The heuristics generally maintain the reliability above 99%. The only case where accuracy may possibly drop below 100% is where there are two different glyphs in the same font instance that are identical. If two glyphs are identical, yet, the between glyph pixel spacing is different, the SeeScreen can still determine which is which with 100% certainty. >I have technology that is similar to OCR technology except that >it determines rather than estimates its results. The main >advantage over conventional OCR technology is that it is much >more accurate with very small fonts. See http://www.structurise.com/kleptomania/ >>I have technology that is similar to OCR technology except that >>it determines rather than estimates its results. The main [quoted text clipped - 4 lines] > > http://www.structurise.com/kleptomania/ I have extensively reviewed this technology, and it is the next best technology in the world to www.SeeScreen.com technology. It achieved 44% accuracy when other technologies such as http://www.nuance.com/omnipage/ had essentially zero accuracy. Preliminary tests tentatively indicate that SeeScreen will be able to achieve 100% accuracy on this same sample. The following is a link that contains the actual sample http://www.seescreen.com/Unique.html >>I have technology that is similar to OCR technology except that >>it determines rather than estimates its results. The main [quoted text clipped - 4 lines] > > http://www.structurise.com/kleptomania/ Basically to boil it down in a nutshell, SeeScreen is very similar to Kleptomania for text recognition, except that SeeScreen is much more accurate. Additionally SeeScreen is much more versatile, able to recognize thousands of arbitrary graphical objects (not just text) from millions of alternatives in a fraction of a second. This latter capability is very useful for GUI scripting. Free MagazinesGet these publications absolutely FREE for up to 12 months. There are no hidden fees and no obligation. Simply choose a title, complete the application form and submit it. Read more ...
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