Good news regarding your fonts, see between lines. 2010/7/31 ZIA <[email protected]>
> Thanks for Andre, Jimmy > > CA license plate Font is available. I tired to find the sample file to > train my ocr, but haven't find anything yet. You are right, I may need > to use alot of photoshop, but again, not sure how many LP will give me > the whole set of numbers and characters. I didn't train the tesseract, > becausei thought OCR will be able to figure out, since the provided > images have no noise. I will email you the final images that I am > providing to OCR. Most of the CA license plate are black on white, but > there are color and other different type of LP there, but I am > ignoring those and assuming that most of the LP characters are black > on light background. > There is something wrong with your jpg images. Photoshop doesn't work with them. I converted them to bmp using mspaint, and then uploaded the file to www.whatthefont.com The font is (or very close to): Penitentiary Gothic Fill it costs $21 the font: http://new.myfonts.com/fonts/ephemera/penitentiary-gothic/fill/ Hint: write your text in CorelDraw in order to be able to adjust sizes and pitches. Use layers, put your real plate image in one layer and write above it in a second layer, adjust everything until they are the same. Then you can copy and paste in order to keep the parameters. > Just for curiosity, when you take the image, do you only focus on LP > area or the whole car? In some of my images, there was a reflection in > the image and I need to get rid of reflection some how, but haven't > figured out. > To the whole car (in fact, to the street, I mean, camera in free run mode, with or without a car, without triggering). To get rid of reflections, as an initial approach, I recommend you the use of polarizing filters in the cameras. Optical image filtering is a huge topic, we can continue privately. > I used the suggested site that was supposed to give the name of the > font or other information, but when i provided the image, it was not > able to correctly identify the character and it didn't work. I think > Jimmy had the link. > I think, I need to capture enough images and then use photoshop, and > then i need to read on, how to train my data. Quite of work ahead. > Anyway, any of you have any idea, about scanning image and getting the > LP (image was filtered using edge filter, i can see the rectangle box > of LP, just need to figure out, how to scan and how to extract. The > ratio of CA LP is 1 to 2, or 6 to 12 inches (height=6, width=12) > > thanks > > On Jul 30, 1:36 pm, Andres <[email protected]> wrote: > > 2010/7/30 Jimmy O'Regan <[email protected]> > > > > > > > > > On 30 July 2010 20:45, Andres <[email protected]> wrote: > > > > By the way, the fonts used in the licence plates in Argentina are not > > > > commercial. So I had to build my training image with pictures that I > took > > > > with my own camera on the street. If that's your case, prepare > yourself > > > for > > > > a lot of photoshop work, to make the size of the characters uniform > > > (tips: > > > > (paste) -> Ctrl+T (transform) -> drag the edges holding shift to keep > > > > proportions ---->when you finish with all fonts, merge visible layers > > > > (Shift+Ctrl+E) to avoid having a multilayer TIFF file------use the > rulers > > > to > > > > guide you vertically-----finally you might dicide if you want to > > > threshold) > > > > > > Question to the list: > > > > The images that I use have black background and the letters are > white. I > > > > trained Tesseract for that. Does that make any difference, should I > get > > > > better results by inverting the image (in the training image and > captured > > > > image) ? > > > > > Tesseract is supposed to handle that gracefully, though for training > > > it would be better to use black on white. > > > > > You mean that I can train on black on white and then read white on > black > > > > with no difference ? > > > > > -- > > > <Leftmost> jimregan, that's because deep inside you, you are evil. > > > <Leftmost> Also not-so-deep inside you. > > > > > -- > > > You received this message because you are subscribed to the Google > Groups > > > "tesseract-ocr" group. > > > To post to this group, send email to [email protected]. > > > To unsubscribe from this group, send email to > > > [email protected]<tesseract-ocr%[email protected]> > <tesseract-ocr%[email protected]<tesseract-ocr%[email protected]> > > > > > . > > > For more options, visit this group at > > >http://groups.google.com/group/tesseract-ocr?hl=en. > > -- > You received this message because you are subscribed to the Google Groups > "tesseract-ocr" group. > To post to this group, send email to [email protected]. > To unsubscribe from this group, send email to > [email protected]<tesseract-ocr%[email protected]> > . > For more options, visit this group at > http://groups.google.com/group/tesseract-ocr?hl=en. > > -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. 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