Mobile Based Handwritten Text Recognition and Digitisation System
| dc.contributor.author | Rahul Roy | |
| dc.date.accessioned | 2026-04-27T07:04:27Z | |
| dc.date.issued | 2021-10-28 | |
| dc.identifier.uri | https://repository.ulab.edu.bd/handle/123456789/902 | |
| dc.language.iso | en | |
| dc.publisher | Department of Computer Science and Engineering-CSE | |
| dc.subject | Handwritten text recognition | |
| dc.subject | Digitisation system | |
| dc.subject | Mobile application (Flutter) | |
| dc.subject | OCR (Optical Character Recognition) | |
| dc.subject | CRNN (Convolutional Recurrent Neural Network) | |
| dc.subject | CTC (Connectionist Temporal Classification) | |
| dc.subject | Offline deployment (TensorFlow Lite) | |
| dc.subject | IAM dataset | |
| dc.subject | Character Error Rate (CER) | |
| dc.subject | Online education / COVID-19 pandemic | |
| dc.subject | Project Report | |
| dc.subject | CSE | |
| dc.subject | Summer 2021 | |
| dc.title | Mobile Based Handwritten Text Recognition and Digitisation System | |
| dc.type | Project Report |