Scene Text Localization and Recognition for Images of Serial Numbers and Odometer Readings

This thesis investigates deep learning models and methods to create a full scene text extraction system. The system is composed of two main parts, a localization network and a recognition network, with the recognition network being the main focus. The localization network is a segmentation network that localizes the region in an image containing text. Once this region is identified the recognition network predicts the text within the image. In addition to investigating these models, we look at data processing, data generation, and model prediction processing techniques to improve the system’s robustness and make the learning processes easier.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2022

Author dc:creator

• Coykendall, Van R.

Advisor dc:contributor.advisor

• Barbastathis, George

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/143193

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/143193