A Web-Based Foot Measurement System Using Smartphone Camera for Accurate Foot Dimension Calculation
| dc.contributor.author | Kevin Wong King You | |
| dc.date.accessioned | 2026-04-09T07:44:28Z | |
| dc.date.issued | 2025 | |
| dc.description | The rapid growth of online shopping has created a demand for accurate and convenient foot measurement methods to ensure proper shoe sizing. Traditional approaches like manual measurements or in-store visits are often inaccurate and time-consuming, leading to high return rates and customer dissatisfaction. This project proposes a web-based foot measurement system that enables users to accurately measure their foot dimensions using a smartphone camera. Accessed via a QR code, the system directs users to a web application with instructions for scanning their foot alongside a standard reference object, such as an A4 paper, for calibration, leveraging image processing techniques to calculate foot dimensions from the captured image. By providing a user-friendly and accessible solution for remote foot measurement, the system aims to improve size determination accuracy for online shoppers. Evaluation of the system revealed strong performance, with a Mean Absolute Error (MAE) of just 0.18 EU sizes based on 10 tested samples—80% of which were exact matches, and 90% within ±0.5 size. Further testing showed that the best results were achieved when the phone was positioned at 40 cm height, angled at 90°, and the foot was properly aligned, emphasizing the importance of correct image capture setup to ensure consistent accuracy | |
| dc.identifier.uri | https://scholarhub.unimas.my/handle/123456789/348 | |
| dc.language.iso | English | |
| dc.publisher | Universiti Malaysia Sarawak (UNIMAS) | |
| dc.relation.ispartofseries | Faculty of Computer Science and Information Technology | |
| dc.subject | foot measurement system | |
| dc.title | A Web-Based Foot Measurement System Using Smartphone Camera for Accurate Foot Dimension Calculation | |
| dc.type | Final Year Project |
