Hi, I've not used tess4j but the JavaDocs show that it should be possible to set TessAPI.TessPageSegMode:
http://tess4j.sourceforge.net/docs/docs-1.0/net/sourceforge/tess4j/TessAPI.html http://tess4j.sourceforge.net/docs/docs-1.2/net/sourceforge/tess4j/TessAPI1.TessPageSegMode.html The 3000 resampled image was: https://dl.dropboxusercontent.com/u/523401/ArrisVIP2500_3000.png Cheers On 8 January 2015 at 15:35, newbie <[email protected]> wrote: > Allistair, > Thanks for taking the time to respond . Do you know how to use > psm 6 in tess4j(its probably an argument to the instantiator, need to look > up the src code) ? I have not seen any examples of it being used by > googling.. I tried to resample the cropped image to 3000 px(horizontall > using paint) like you suggested and ran it thro tess4j and it still did > not recognize my model number. Gave me an output of "VIPZSOO". So I guess > piping it thro psm 6 is the key. Also can u send me the image that was > produced after you resampled it to 3000px, so that I know my resampling is > right. > > I also like your idea of providing the white box in the camera view to use > it as my input to cropping . Sure can do that. > I think I am glad discussed the feature matching - that seems more like > object recognition than text recognition. So probably is far fetched. I had > used camFlow(an app) to see if it would recognize my equipment images and > it always came back with "Black media player". So they probably are using > feature matching of openCV. > > Thanks again and appreciate your taking time to respond. > > > On Wednesday, January 7, 2015 6:12:05 PM UTC-5, Allistair C wrote: >> >> It sort of depends on your hardware and how similar or different they >> are. Reliable feature matching works on distinct features (so there need to >> be enough points of interest (edges usually) that cover text, buttons, >> other bits and pieces). If, for example, all your hardware was the same as >> the example you originally posted and only the model number was changing >> then this would be an issue most likely as the feature matching may match >> several targets. >> >> Also you mention the tech takes a picture on mobile. Does that need to be >> looked up immediately? The issue is that feature matching is CPU heavy and >> can take time on mobile and is a function of the photo resolution. Luckily, >> feature matching appears to work better on lower resolution images and most >> of the time works in black and white. Then there is the potential number of >> hardware items you are trying to match. The most advanced mobile augmented >> reality products (Metaio, Vuforia) that use feature matching only allow up >> to 100 targets to be "tracked" or "looked for" at a time - every piece of >> hardware you are looking for needs to be compared to the live input camera >> view (or photo) and this is the part that hits the CPU hard. If however >> there was an option to offload the image(s) to a backend cloud server for >> feature match or if the tech did not need an instant or any kind of result >> in the field, then you are in a better situation as you can stand up >> serious computing power. >> >> It's not easy to recommend one or the other without all the facts - as >> you begin to mention new things like mobile and techs in the field, this >> changes things :) For instance I also used mobile - an Android tablet, with >> Open CV and Tesseract OCR - the combination worked in the field - the tech >> can position the camera face-on to the model number and take a close photo. >> You could even provide a mini App for your techs that has a basic cropping >> tool. The technique I used was to show the camera view in my app with a >> little white transparent box over the camera view that allowed the user to >> position the text to fit that white box. Then, when the photo was taken I >> simply cropped that white box coordinate rectangle and I had a perfect >> match. This was easy vs. feature matching :) >> >> On Wednesday, 7 January 2015 23:02:09 UTC, newbie wrote: >>> >>> Sorry for the barrage here. >>> The interesting thing is you mentioned feature matching with openCV(I >>> dont know anything at all about it). But the one thing is I can have a >>> repository of these images with me and I need to match it to one of the >>> user generated image. >>> >>> A little background might help. I can(or come up with) have a repository >>> of all the equipment images with me. A tech might head to the field, take a >>> picture on his mobile device and I need to match it(tech's picture) >>> against my repository and come up with the model number. >>> >>> Is this easier with ocr or feature matching with openCV ? >>> >>> Thanks >>> >>> On Wednesday, January 7, 2015 5:35:47 PM UTC-5, newbie wrote: >>>> >>>> Thanks Allistair , my lucky day as you have responded to both my >>>> queries. Let me try to address your questions below and then go ahead with >>>> a few of my own :-) >>>> >>>> *I also meant to ask whether your use case allows for cropping. If you >>>> know you will have a certain format of image, cropping an area and >>>> resampling should be easy.* >>>> Basically the image will be an user generated image, more like the >>>> first png file, but we could ask the user to zoom in to the model number, >>>> if that would help us indentify the model number.we could do anything with >>>> the image(cropping ,resampling etc). But the problem is the model number >>>> probably will not be located at the same place for all equipments. >>>> >>>> 2. Preprocessing - as it should be programatically done would I be >>>> using opencv in conjunction with tesseract? I did not see much in tesseract >>>> for image processing(I could be totally off). >>>> 3.*.I also use psm 6 for these types of image with various text >>>> locations.* >>>> what is this ? >>>> >>>> Another thing I probably can come up with is all the model #s or images >>>> of all potential equipments, so I have repository to match against. Would >>>> that help in any way ? >>>> >>>> Thanks again for taking the time to respond. Appreciate it. >>>> >>>> >>>> >>>> On Wednesday, January 7, 2015 4:44:47 PM UTC-5, Allistair C wrote: >>>>> >>>>> I also meant to ask whether your use case allows for cropping. If you >>>>> know you will have a certain format of image, cropping an area and >>>>> resampling should be easy. You could also do some preprocessing that looks >>>>> for certain icons in your image to get some context as to where the model >>>>> number is likely to be (see feature matching on Open CV). However, I would >>>>> need to know more about your use case. >>>>> >>>>> That said, resampling your full image to 3000px wide yielded a result >>>>> with a full model number but the more you can crop the area the better the >>>>> result: >>>>> >>>>> AT&T U verse ‘ § >>>>> LINK HD nzc , >>>>> rowzn Q I ‘ .» . ‘ nsuu 4 0|: > I >>>>> / sj J \ >>>>> VIP2500 °%' 7 A R R I s >>>>> >>>>> >>>>> On 7 January 2015 at 21:39, Allistair <[email protected]> wrote: >>>>> >>>>>> A common technique is to pre-process your input image. >>>>>> >>>>>> Resizing produced good results.I also use psm 6 for these types of >>>>>> image with various text locations. >>>>>> >>>>>> In this case I first used your cropped image: >>>>>> >>>>>> tesseract ArrisVIP2500_cropped.png out -l eng -psm 6 config >>>>>> >>>>>> and got: >>>>>> >>>>>> AT&T U verse >>>>>> rowsn >>>>>> O F3. >>>>>> vrrzsoo ’e' >>>>>> >>>>>> Then I resampled your image to 2000px wide: >>>>>> >>>>>> tesseract ArrisVIP2500_cropped_2000.png out2000 -l eng -psm 6 config >>>>>> >>>>>> and got: >>>>>> >>>>>> AT&T U verse >>>>>> POWER © " ‘| >>>>>> / ‘j""'j"’.. >>>>>> VIP2500 '%’ >>>>>> >>>>>> Cheers >>>>>> >>>>>> >>>>>> >>>>>> On 7 January 2015 at 19:26, newbie <[email protected]> wrote: >>>>>> >>>>>>> I am using tess4j, a java wrapper around tesseract and Here are the >>>>>>> images and results. The intent is to extract VIP2500(model number) from >>>>>>> the >>>>>>> image. An help is appreciated. >>>>>>> >>>>>>> Attached are the original png file ( ArrisVIP2500.png),binarized >>>>>>> file(ArrisVIP2500_bin.TIF) and then a zoomed and cropped >>>>>>> file(ArrisVIP2500_cropped.png). >>>>>>> >>>>>>> *ArrisVIP2500.png* >>>>>>> >>>>>>> é ATE-T U-verse >>>>>>> >>>>>>> rowan 0 >>>>>>> / >>>>>>> >>>>>>> *ArrisVIP2500_bin.TIF* >>>>>>> >>>>>>> AT&T U-verse >>>>>>> >>>>>>> rowan <3 3 >>>>>>> / -- >>>>>>> >>>>>>> vxvzsoo ‘Q’ >>>>>>> >>>>>>> *ArrisVIP2500_cropped.png* >>>>>>> >>>>>>> ATE-T U-verse >>>>>>> >>>>>>> rowsn Q >>>>>>> >>>>>>> VIPZSOO ‘e’ This looks the closest to VIP2500 , >>>>>>> I need to get tess4j to reconginze digits, that said, this might not be >>>>>>> a >>>>>>> realistic scenario, as someone/something >>>>>>> >>>>>>> Needs to zoom and crop >>>>>>> the image before hand(preprocessing). >>>>>>> >>>>>>> -- >>>>>>> You received this message because you are subscribed to the Google >>>>>>> Groups "tesseract-ocr" group. >>>>>>> To unsubscribe from this group and stop receiving emails from it, >>>>>>> send an email to [email protected]. >>>>>>> To post to this group, send email to [email protected]. >>>>>>> Visit this group at http://groups.google.com/group/tesseract-ocr. >>>>>>> To view this discussion on the web visit >>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/009ffbc7- >>>>>>> 90cc-417a-90c8-b4ac9b5bb203%40googlegroups.com >>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/009ffbc7-90cc-417a-90c8-b4ac9b5bb203%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>>> . >>>>>>> For more options, visit https://groups.google.com/d/optout. >>>>>>> >>>>>> >>>>>> >>>>> -- > You received this message because you are subscribed to the Google Groups > "tesseract-ocr" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > Visit this group at http://groups.google.com/group/tesseract-ocr. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/e6bd4bf6-ad6e-4bef-bff7-6397c924f42b%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/e6bd4bf6-ad6e-4bef-bff7-6397c924f42b%40googlegroups.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. 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