Design and Evaluation of an XOR Auto-Associative Memory-Based Framework for Robust Iraqi License Plate Recognition

Rasha Majid Hassoon

Vol. 12, Issue 1, Jan-Dec 2026

Page Number: 1 - 12

Abstract:

This project presents an enhanced Iraqi vehicle plate identification system, incorporating digital processing technologies and the XOR Auto-Associative Memory advanced associative memory algorithm, towards a fast and efficient performance under diverse conditions of imagery. The system consists of three major stages: identification of the panel area, or localization, using edge transformations and morphological operations; symbol segmentation, or segmentation, based on horizontal and vertical projections for the exact extraction of numbers and letters; and finally, recognition use of XOR operations and a binary distance criterion known as Hamming Distance.

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