Recognizing license plate characters with OCR

Neural classification models recognize license-plate characters and diagnose ambiguous OCR cases.

Challenge

License plate recognition depends on correctly classifying small and noisy character images, including ambiguous digits and letters under different capture conditions.

Data

The project used labeled character images, classification targets and error statistics to train and evaluate neural OCR models.

Solution

Artelnics built neural classification models, evaluated confusion patterns and analyzed misclassified samples to understand where recognition could be improved.

Results

The model and diagnostics improve automated plate-reading pipelines by showing both recognition performance and the types of samples that need special attention.

Illustrations