[Chicago] OpenALPR - Transformations

Sat Nov 5 22:26:57 EDT 2016

Actually it is this act:

http://www.ilga.gov/legislation/BillStatus.asp?DocTypeID=HB&DocNum=3289&GAID=13&SessionID=88&LegID=89469

Synopsis As Introduced
Creates the Automated License Plate Recognition System Act. Defines
"automated license plate recognition system" and *limits the use of such
systems to use by law enforcement personnel and their agencies for use in
an ongoing investigation*. Provides that data collected from use of the
system may only be kept for 30 days after it was obtained unless necessary
for an ongoing investigation. Provides that a violation of the Act is a
Class A misdemeanor.

On Sat, Nov 5, 2016 at 7:26 PM, John Stoner <johnstoner2 at gmail.com> wrote:

> 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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