Want to crop an image of car and extract number plate from it.

i have a problem in my project.I have to crop the edges of a car's image and i want to extract only it's number plate.The OCR i am using can not extract charcters which are skewed etc.Can i have a code through which i can crop an image and extract only specific part?

Is this a college project ?
Cos it sounds extremely tricky to attempt.
If I was attempting this I might
1. Assume a fixed camera position.
So that I'd know what the road looked like without any cars.
Take a photo of this road as a "control background".
2. Assume a standard number plate system.
In Ireland, they've a white background, black lettering.
No italic writing.
Then, when I detect a car ( say more than 5% of the "control background" is covered ), I might try searching for the black & white lettering.
This might involve scanning the image from left to right, top to bottom, and defining rectangular ranges of black & white pixels.
( I'd allow multiple regions, so there could be more than 1 plate in the photo.
It might even pick up sign-writing on vans and cars ! )
That's just my initial quick idea of how to attempt it.
Could be easier ways...
regards,
Owen

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Compare and extract number from string

Hi, all
If I want to compare a requirement number and extract a number form a continuous data, . for example,
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*********456 ******
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Just extract all numbers into an array, then find the element with the smallest absolute difference. See attached (LabVIEW 7.0).
EDIT: Sorry, If by "Nearest greater" you mean the next higher number, you can use something like in my example II. (Also LabVIEW 7.0).
If you don't recognize an node, just right-click on it and select help.
You still need to add proper execption handling, e.g.:
What if no element is greater?
What if there are multiple solutions?
What if the string does not contain any numbers?
Message Edited by altenbach on 10-13-2005 09:05 AM
LabVIEW Champion . Do more with less code and in less time .
Attachments:
FindClosest.vi ‏29 KB
FindClosestII.vi ‏30 KB

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Hi,
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Hello all
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I have looked at various ASP Upload packages and I can upload
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As this is a private project I need any suggestions to by
free.
The tutorial shows how to create the site in Ultra Dev but
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<%@LANGUAGE="VBSCRIPT" CODEPAGE="65001"%>

<%
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%>
<%
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MM_IIf = ifTrue
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<%
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0
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http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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http://www.w3.org/1999/xhtml">
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<meta http-equiv="Content-Type" content="text/html;
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<link href="../scripts/admin.css" rel="stylesheet"
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<td colspan="2"><input name="product_category"
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/></td>
</tr>
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<td colspan="2"><input name="product_name"
type="text" id="product_name" tabindex="2" size="50"
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</tr>
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type="text" name="product_price" id="product_price" tabindex="3"
size="50" /></td>
</tr>
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name="product_briefdesc" id="product_briefdesc" cols="47" rows="4"
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</tr>
<tr>
<td class="tdLabel">Product Full
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<td class="tdContent" colspan="2"><textarea
name="product_fulldesc" id="product_fulldesc" cols="47" rows="5"
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</tr>
<tr>
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</tr>
<tr>
<td class="tdLabel"> </td>
<td align="center"><input type="reset" name="Reset"
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<td align="center"><input type="submit"
name="Submit" id="Submit" value="Add To Shop" /></td>
</tr>
</table>
<input type="hidden" name="MM_insert" value="add_form"
/>
</form>
</div>
</body>
</html>
Hope you can help.
Warm regards
Martin

Got it sorted.
Found an excellent tutorial at Webthang.
http://www.webthang.co.uk/tuts/tuts_dmx/rob15/rob15.asp

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Hello sillyvalley,
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I just purchased a mac air and am unable to get my entire music library and pictures moved from my iPhone. I subscribed to match and it wants to delete everything on my iPhone and replace with nothing from the new computer How do I get my music and pict

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                        <census1:_67To69Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">307</census1:_67To69Years>
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                        <census1:_80To84Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">331</census1:_80To84Years>
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                        <census1:_35To39Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1026</census1:_35To39Years>
                        <census1:_20Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">285</census1:_20Years>
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                        <census1:_40To44Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1077</census1:_40To44Years>
                        <census1:_62To64Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">270</census1:_62To64Years>
                        <census1:_10To14Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">872</census1:_10To14Years>
                        <census1:under5Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">862</census1:under5Years>
                        <census1:_18And19Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">511</census1:_18And19Years>
                        <census1:_67To69Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">258</census1:_67To69Years>
                        <census1:_55To59Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">647</census1:_55To59Years>
                        <census1:_22To24Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">569</census1:_22To24Years>
                        <census1:_75To79Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">252</census1:_75To79Years>
                        <census1:_80To84Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">183</census1:_80To84Years>
                        <census1:_25To29Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">969</census1:_25To29Years>
                        <census1:_15To17Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">525</census1:_15To17Years>
                        <census1:_30To34Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1024</census1:_30To34Years>
                        <rdf:value rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">13324</rdf:value>
                        <census1:_50To54Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">822</census1:_50To54Years>
                        <census1:_45To49Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">987</census1:_45To49Years>
                        <census1:_5To9Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">974</census1:_5To9Years>
                        <census1:_60And61Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">215</census1:_60And61Years>
                        <census1:_21Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">287</census1:_21Years>
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        </census1:totalPopulation>
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</rdf:RDF>now my first attempt at pulling this off worked just fine, but only for the female demographics, since the tags for female and male are identical (only the numbers/data is different) and my parser would stop after reaching the first round of tags specified.
here's part of my code for that section, located in the main (response is the xml string returned from server):
while ((temp = in.readLine()) != null)
             response += temp + "\n";
        temp = null;
        in.close ();
int left = response.indexOf("<census1:under5Years rdf:datatype=\"http://www.w3.org/2001/XMLSchema#integer\">");
          int right = response.indexOf("</census1:under5Years>");
               // pull out the text inside the parens
               String parsed = response.substring(left+77, right);
               double parseddub = Double.parseDouble(parsed);
                    //divide the group Under5Years into Under12Mo and 1to4Yr
                    double Group1Adub = parseddub*.25;//25% for Under12Mo
                    Group1Adub = Math.ceil(Group1Adub);
                    int Group1A =(int)Group1Adub;
                    double Group1Bdub = parseddub*.75;//75% for 1to4Yr
                    Group1Bdub = Math.ceil(Group1Bdub);
                    int Group1B =(int)Group1Bdub;
//..need to basically duplicate this for 3 other age groups
int Group1 = Group1A;
System.out.println("Server response:\n" + "Female");
          System.out.println("Under 12 Months:    " + Group1);now basically, everything works great for the female data, but i would like to somehow loop this or selectively parse by line and then extract information from those selected lines. any thoughts? i would really appreciate some insight thanks.

lol no offense taken. sorry for the confusion, please disregard my earlier statements... :)
i actually was able to get the thing working, i just didn't quite understand what i was doing at first.
however, i noticed that the regex only handles the first four lines of each group (male and female). i was wondering if there was a way to do it that's non-sequential?
<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:census1="tag:govshare.info,2005:rdf/census/details/100pct/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:census="http://www.rdfabout.com/rdf/schema/census/">
    <rdf:Description rdf:about="http://www.rdfabout.com/rdf/usgov/geo/census/zcta/90041/censustables">
        <census1:totalPopulation>
            <rdf:Description>
                <dc:title>SEX BY AGE (P012001)</dc:title>
                <census1:female>
                    <rdf:Description>
                        <census1:_40To44Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1131</census1:_40To44Years>
                        <census1:_62To64Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">327</census1:_62To64Years>
                       -<census1:_10To14Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">875</census1:_10To14Years>
                       -<census1:under5Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">864</census1:under5Years>
                        <census1:_18And19Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">592</census1:_18And19Years>
                        <census1:_67To69Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">307</census1:_67To69Years>
                        <census1:_55To59Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">689</census1:_55To59Years>
                        <census1:_22To24Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">600</census1:_22To24Years>
                        <census1:_75To79Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">450</census1:_75To79Years>
                        <census1:_80To84Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">331</census1:_80To84Years>
                        <census1:_25To29Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">932</census1:_25To29Years>
                       -<census1:_15To17Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">534</census1:_15To17Years>
                        <census1:_30To34Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1035</census1:_30To34Years>
                        <rdf:value rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">14540</rdf:value>
                        <census1:_50To54Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">970</census1:_50To54Years>
                        <census1:_45To49Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1038</census1:_45To49Years>
                       -<census1:_5To9Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">949</census1:_5To9Years>
                        <census1:_60And61Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">261</census1:_60And61Years>
                        <census1:_21Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">264</census1:_21Years>
                        <census1:_70To74Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">482</census1:_70To74Years>
                        <census1:_65And66Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">208</census1:_65And66Years>
                        <census1:_35To39Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1026</census1:_35To39Years>
                        <census1:_20Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">285</census1:_20Years>
                        <census1:_85YearsAndOver rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">390</census1:_85YearsAndOver>
                    </rdf:Description>
                </census1:female>
                <rdf:value rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">27864</rdf:value>
                <census1:male>
                    <rdf:Description>
                        <census1:_40To44Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1077</census1:_40To44Years>
                        <census1:_62To64Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">270</census1:_62To64Years>
                       -<census1:_10To14Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">872</census1:_10To14Years>
                       -<census1:under5Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">862</census1:under5Years>
                        <census1:_18And19Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">511</census1:_18And19Years>
                        <census1:_67To69Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">258</census1:_67To69Years>
                        <census1:_55To59Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">647</census1:_55To59Years>
                        <census1:_22To24Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">569</census1:_22To24Years>
                        <census1:_75To79Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">252</census1:_75To79Years>
                        <census1:_80To84Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">183</census1:_80To84Years>
                        <census1:_25To29Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">969</census1:_25To29Years>
                       -<census1:_15To17Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">525</census1:_15To17Years>
                        <census1:_30To34Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1024</census1:_30To34Years>
                        <rdf:value rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">13324</rdf:value>
                        <census1:_50To54Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">822</census1:_50To54Years>
                        <census1:_45To49Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">987</census1:_45To49Years>
                       -<census1:_5To9Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">974</census1:_5To9Years>
                        <census1:_60And61Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">215</census1:_60And61Years>
                        <census1:_21Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">287</census1:_21Years>
                        <census1:_70To74Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">320</census1:_70To74Years>
                        <census1:_65And66Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">155</census1:_65And66Years>
                        <census1:_35To39Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1140</census1:_35To39Years>
                        <census1:_20Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">257</census1:_20Years>
                        <census1:_85YearsAndOver rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">148</census1:_85YearsAndOver>
                    </rdf:Description>
                </census1:male>
            </rdf:Description>
        </census1:totalPopulation>
    </rdf:Description>
</rdf:RDF> using the regular expression, i can parse the string, but what i really need is to only parse the 8 lines designated, and they are not in sequential order, which makes it somewhat problematic.
the format of the output i want to get should be as in the following example (female: under5, 5to9, 10to14, 15to17):
[864, 949, 875, 534]
same format for male of course. i'm just not sure how to edit the regex so that it can select only the lines i'm concerned with...? thanks so much i really appreciate this.

I had my computer replaced but copied my hard drive and now I can't access my firefox bookmarks, how can I go and extract the bookmarks from my copied harddrive?

My HP Touchsmart was sent back in to HP for repairs under warranty. I was advised to make a copy of my harddrive because they may erase my hard drive, which they did, if the problem had to do with a faulty motherboard, which it was. They replaced my HD with a brand new one and now I DO NOT have any of my data installed in the new computer. Luckily I still have an exact replicate of my hard drive on a seperate external HD. However, when I looked in the bookmark.html under the firefox folder, the bookmarks were all blank and none of my bookmarks were there. I checked the properties tabe and it was dated sometime in March of 2011, earlier this year. I have a lot of stuff I wish to pull out from. The Firefox version I was using was the 3.6.16 and the file version was 1.9.2.4095, my OS was use Windows 7 Ultimate 64-bit. I would like to be able to access it again. Please help. Just a heads up but I'm taking a guess you guys already know, that the information under troubleshooting information is of my current computer and not the same as the one that is copied in my hard drive.

Sorry, I don't find a support article for that type of situation. Read these two articles for help, as bookmarks.html isn't the file type you should be looking for.
https://support.mozilla.com/en-US/kb/Lost+Bookmarks
http://support.mozilla.com/en-US/kb/Recovering+important+data+from+an+old+profile

Want to crop an image of car and extract number plate from it.

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