Why Your Tesseract OCR Results Suck (and How to Fix Them Fast)

This article details the methodology for digitizing and preparing historical documents for OCR using Tesseract. It covers challenges in data collection from aged archives, preprocessing techniques such as binarization, skew correction, and noise removal, as well as environment setup and dataset preparation. The study follows established evaluation frameworks while adapting them to Tesseract 5, offering insights into improving OCR accuracy on degraded or complex archival materials.

Table of Links

Abstract and 1. Introduction

1.1 Printing Press in Iraq and Iraqi Kurdistan

1.2 Challenges in Historical Documents

1.3 Kurdish Language

3 Method

This chapter provides the method of conducting this research. It explains data collection and preparation, the experimental environment and its configurations, and the assessment and evaluation of the outcomes.

3.1 Data Collection

We collect data from different public and private libraries with historical documents. We focus on items published ...