[Chicago] OpenALPR - Transformations

[John Stoner]

That looks more to me like restrictions on law enforcement use of license
plate readers. I don't see where it applies to civilian use at all.

On Sat, Nov 5, 2016 at 6:01 AM Michael Tamillow <mikaeltamillow96 at gmail.com>
wrote:

> Hi Chris,
>
>
> http://www.ilga.gov/legislation/BillStatus.asp?DocNum=1351&GAID=13&DocTypeID=SB&LegId=87838&SessionID=88
>
> It looks like what you are doing is likely not legal in the state of
> Illinois (or soon won't be). I'm not a lawyer, and I don't know the exact
> nature of your project, nor do I know the exact status of the act, so I
> can't say anything about that fine line. Probably best to avoid anything
> that amounts to collecting personal data on strangers that could be used to
> identify them. And if you are knowingly breaking the law, better not to
> create a virtual trail (e.g. Paul Combetta). If this is simply a learning
> experience for image recognition, may I suggest the MNIST data set for
> starters.
>
> Sent from my iPhone
>
> On Nov 4, 2016, at 10:14 PM, Jason Wirth <wirth.jason at gmail.com> wrote:
>
> Could you be a little more specific in the problem you have; I looked at
> the sample image on the site and tried a couple random images on the demo
> and it detected a skewed plate so I'm not sure what's not working. Is it
> that yours is highly skewed while theirs only detects moderately skewed
> images, or it cannot read the numbers correctly?
>
> Also, what do you mean by "sometimes that it doesn't read it correctly"?
> What's the overall accuracy?
>
> In many cases you can automatically create a huge training data set by
> taking a good image then applying various tilt, skew, and reshaping
> transformations. Perhaps you can train something yourself.
>
>
>
>
>
>
> --
>     Jason Wirth
>     wirth.jason at gmail.com
>
> On Fri, Nov 4, 2016 at 2:38 PM, Robare, Phillip (TEKSystems) <
> proba at allstate.com> wrote:
>
> Some links you may find useful below.  I am surprised ALPR doesn't do this
> already.
>
> The problems reading license plates by humans have resulted in deaths (due
> to hits on mis-entered license numbers in the context of traffic stops).  I
> hope you are getting a better feeling of how we need to be careful with the
> tasks given to our new robotic overlords.
>
> An interesting post from a couple years ago is "How to Build a Kick-Ass
> Mobile Document Scanner in Just 5 Minutes" (
> http://www.pyimagesearch.com/2014/09/01/build-kick-ass-mobile-document-scanner-just-5-minutes/)
> .  It covers sharpening the image, doing a perspective transformation and
> getting the document ready for OCR (but not the OCR step).
>
> The book "Automate The Boring Stuff With Python" has a chapter on
> "Manipulating Images" that is online and covers how to do the manipulations
> with PIL (https://automatetheboringstuff.com/chapter17/).  This would be
> a good start.  If you are working on your project with Python 3 (if not,
> why not?) I believe Pillow has the same API.
>
> There have been a number of github projects in the space of preparing
> scanned documents that I have seen over the years.  Unfortunately I can't
> find the best ones I remember so here are ones I found today:
> Scantailor (https://github.com/scantailor/scantailor) is a large C++
> project that appears to be very complete.  ImproveQuality (
> https://github.com/tesseract-ocr/tesseract/wiki/ImproveQuality) is also a
> cpp project meant for text scanning.
>
> A mathematically interesting approach to deskewing is documented in
> http://www.ijstr.org/final-print/dec2013/An-Integrated-Skew-Detection-And-Correction-Using-Fast-Fourier-Transform-And-Dct.pdf
> where a Fast Fourier Transform is used to determine the skew without
> pre-analyzing the image to pull out text lines.
>
>
> Phil Robare
>
>
> -----Original Message-----
> From: Chicago [mailto:chicago-bounces+proba=allstate.com at python.org] On
> Behalf Of Chris Vinzons
> Sent: Thursday, November 03, 2016 2:52 PM
> To: chicago at python.org
> Subject: [Chicago] OpenALPR - Transformations
>
> Hi,
>
> I'm using OpenALPR to read still license plates, but the thing is that my
> sometimes that it doesn't read it correctly. I think this is because of the
> license plate is tilted. Is there a way to untilt it or is there some kind
> of training data I could do in python?
>
>
> Thanks
>
> Chris V
>
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