Character classification data for license plates

Licence Plate Character Classification Data

Authors:
Rohit Rawat, Dr. M. T. Manry, Fernando Martinez
Image Processing and Neural Networks Lab
The University of Texas at Arlington
http://www.uta.edu/faculty/manry/

This dataset has 49 numerical features extracted from character images extracted from license plate images. The dataset has 12757 images extracted from plate images split into training and testing sets. The data has 36 output classes belonging to letters 'A' to 'Z' excluding the characters 'O' and 'Q', numbers '0' to '9', and two state map characters.

Data is tab separated, one line per example, with the correct class between 1 and 36 at the end of the line.

This data should be cited as:
Rawat, Rohit; Manry, M.T.; Martinez, Fernando (2016): Character classification data for license plates. figshare. https://dx.doi.org/10.6084/m9.figshare.3113449.v1