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Ontario Driver's Licence Renewal
Ontario Drivers License Number Generator
Ontario Driver License Number

Formats for MVR license numbers. Here is a list of the license number formatting requirements for each state. If the driver does not have middle name. The Personal Information About You On Your Ontario Drivers Licence. It may be necessary to look at a driver’s licence to verify a person’s age. Florida Drivers License Generator. Enter the information below and we will attempt to determine your Driver License number. All Information Is Required!

Driver's License numbers in New Jersey aren't random. They follow the format: Affff lllii mmyye, where A is the first letter of the person's last name, ffff is some mapping of the remaining letters of the last name to a four digit numeric, lll is a mapping of the full first name to a three digit numeric and ii is a code representing the middle initial (according to the below table:

Where the number corresponding to the initial is 10*column number + row number. mm corresponds to the month born, and yy to the year born. e is the eye color (a value 1-8 corresponding to BRO, BLU, GRY, GRN, BLK, etc.)

The only thing I don't understand is how the names are mapped to the integer values. I only have 5 examples for the last name mappings: (ignoring the first letter because it doesn't play into the mapping

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For first names, I only have four:

Does anyone have any ideas how the implementation is done, or even a general mapping function that will hash a max 25 length string to a four digit or three digit number while maintaining lexicographical order (<=, not <).

Validates the Ontario Driver's License Number: Does NOT validate whether the driver's license number actually exists. Validates length; Validates of the format 1 letter followed by 14 numbers.

Things I've Tried

Convert each letter to a number 1-26. Then, taking only the first four numbers, create the number by the rule 26^3 * first number + 26^2 * second number + 26 * third + fourth. Then, divide this number by 26^4 + 26^3 + 26^2 + 26, and multiply by 10000 to map the decimal into 0-9999. This produces the following mappings:

Get a list of the top 10,000 most common surnames. Order by the second letter, and then check the index. This produces the following mappings:

Each letter subdivides the 10,000. The first number (according to 1-26) cuts it into one of 26 pieces. The second cuts the piece into one of 26, and so on and so forth. This produces the following mappings:

Convert each of the first four letters to 1-26. Concatenate all of them, multiply the resulting number by 10,000, and divide by 26262626. This produces the following mappings:

Do the above with 0-25, divide by 25252525. This produces the following mappings:

Ontario Driver's Licence Renewal

Additional Samples

While I believe all of the above samples are correct, I tried to track down more authentic sample data points. Ones that I can guarantee are below:

Last Names

First Names

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Alex Beals

Alex BealsAlex Beals

Ontario Drivers License Number Generator

4 Answers

This is not yet a complete answer, but perhaps what I've found can be combined with other information to come up with the complete solution.

First name encoding

If we assume a linear encoding, then we have everything needed to figure this out based on your four samples. If we consider letter values as a=0, b=1, .. regardless of whether they're uppercase or lowercase, your four samples can be turned into four linear equations:

Since we have four equations and four unknowns, it's easily solved using simple but tedious algebra or in matrix form using Gaussian elimination. (Sorry for the ugly looking math, but unlike other StackExchange sites apparently ReverseEngineering doesn't support MathML, which is unfortunate.)

If you do so, you get the following values:

All very neat and accurate, but there's a problem, which is that any four samples would result in some answer. The question is whether it works for all possible names, and unfortunately, the answer is no.

Ontario Driver License Number

Further samples

I did some searching on the internet and found a few more samples. Here's an image of a Russian spy's New Jersey license and here is a Police guide (see page 60). This pamphlet from the NJ MVC encodes 'Dennis J. Driver' as D4047-16371

If we try the first name equation above on these new samples, they fail, so it's not quite right. The result suggests that the weighting is not quite so simple. When searching, I also found that both Ontario and Québec licenses appear to use the same first and last name encodings. So for example, this temporary Ontario permit verifies that 'Dennis' is encoded as 163 in Ontario as well as in New Jersey.

When I run a linear regression on all of the first name values vs. the first letter l (encoded as a=0, b=1, ..) I get the equation 32.42*l+52.55 with an R^2 value of 0.986 which shows this to be highly linear.

Last name experiment

I tried a very simple experiment with the last name encoding which was a very simplistic method not mentioned in your list of things you have tried. That was to simply consider each character as a base-26 digit. Siemens drive monitor software download. Using the 4 characters following the first, the encodings for 'Baab' and 'Jackson' are correctly obtained, but no others matched.

Other encoding schemes

I did some searching for existing encoding schemes. Soundex was both easily found and easily discounted, but there are many variations to it and it's possible that some expanded variation was used. I was not able to locate a Soundex variant that produced these particular values, but I learned some interesting things along the way.

First, perhaps not surprisingly, there has long been a need to try to match up names in a database using some kind of encoding. Generically, the problem is called record-linking and is typically thought of as mathing a possibly misspelled name to a subset of possible matches in a database. Soundex has been used for this purpose, but found to be somewhat lacking in effectiveness.

Other schemes I have located, or at least located references to include:

Cutter-Sanborn Four-Figure used to encode author names for libraries

This stringmetric project has what appears to be a nice collection of algorithm implementations w

2021.08

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Ontario Driver Licence Number Generator

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