Extraction of text regions in natural images

Author

Sneha Sharma

Abstract

The detection and extraction of text regions in an image is a well known problem in the computer vision research area. The goal of this project is to compare two basic approaches to text extraction in natural (non-document) images: edge-based and connected-component based. The algorithms are implemented and evaluated using a set of images of natural scenes that vary along the dimensions of lighting, scale and orientation. Accuracy, precision and recall rates for each approach are analyzed to determine the success and limitations of each approach. Recommendations for improvements are given based on the results.

Publication Date

2007

Document Type

Master's Project

Student Type

Graduate

Degree Name

Computer Science (MS)

Department, Program, or Center

Computer Science (GCCIS)

Advisor

Canosa, Roxanne

Advisor/Committee Member

Raj, Rajendra

Advisor/Committee Member

Bischof, Hans-Peter

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in December 2013.

Recommended Citation

Sharma, Sneha, "Extraction of text regions in natural images" (2007). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/162

Campus

RIT – Main Campus