Android mobile app: image-based form filling / Puteri Azleen Samat

• Main Author: Samat, Puteri Azleen
• Format: Thesis
• Language: English
• Published: 2017
• Subjects: Mobile computing; Android
• Online Access: https://ir.uitm.edu.my/id/eprint/109860/1/109860.pdf; https://ir.uitm.edu.my/id/eprint/109860/

Filling out forms distributed by hand can be cumbersome for some people especially when they have to fill out form with insufficient writing facilities which may result in illegible handwriting that cause longer time for form processing by the clerk. Therefore, this project is an approach to overcome the issue by make use of digitized paper-based form using the mobile phone’s camera. Image of the form is captured and filled by annotating text onto the digitized image of the form and stored in database. This project is developed by using HTML5, JavaScript and JSON that enable annotation on image. The application has been tested for 4 sets of form and the result shows that it is functional for utilization in many field, such as image labelling in crime scene investigation, geology, archelogy and also for commissioning.