📝 Signature Data Extraction

Project by Timothy Creekmore

🔍 Project Overview

This project aimed to automate the extraction of information from scanned signature sheets, converting them into a structured CSV format for later use and analysis. It was part of a larger initiative to evaluate public support based on signature collections across Arkansas.

🧰 Tools & Technologies

🎯 Project Goal

Convert a large batch of scanned signature sheets into a tabular CSV format, enabling easy analysis and aggregation of names, addresses, counties, and signature dates.

📈 Outcome

The project was completed in-part. While the extraction of printed text (e.g., names, addresses, and counties) was successful, handwritten signatures proved to be a challenge due to OCR limitations. Future improvements include integrating handwriting recognition models or a human-in-the-loop validation workflow.

🖼️ Screenshots / Visuals

Example output, CSV snippet, or dashboard coming soon.

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