[Chicago] OpenALPR - Transformations

Sat Nov 5 23:40:42 EDT 2016

That act only applies to those who are "acting under the color of State
law." This is a legal term that means the act is purported to be done
within an official capacity. Yes, that contradicts the synopsis,
technically speaking.

-JKC

On Sat, Nov 5, 2016 at 9:26 PM, Michael Tamillow <mikaeltamillow96 at gmail.com
> wrote:

> 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-mobi
>>> le-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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