About this document
OCR System For The Recognition of Ethiopic Real-Life Documents by rutmar35 is a document available to read on EtoBox.
This document discusses the development of an Optical Character Recognition (OCR) system specifically for Ethiopic scripts, aiming to digitize real-life documents containing vital historical and cultural information. The proposed system utilizes a novel feature extraction method combining Gabor Filters and Principal Component Analysis (PCA), along with a Genetic Algorithm (GA) for feature selection, achieving an impressive accuracy of 98.33% on tested documents. The study highlights the importance of OCR te
- Author
- rutmar35
- Language
- EN