Intelligent Stitching: Transforming Offline Stroke Extraction for Online Handwriting Recognition

Authors

Curtis Wigington, Brigham Young University
William Barrett, Brigham Young University

Keywords

intelligent stitching, offline stroke extraction, online handwriting recognition

College

Physical and Mathematical Sciences

Department

Computer Science

Abstract

Images of historical documents are being collected and archived much faster than volunteers can possibly index them alone. Improvements in offline handwriting recognition could greatly accelerate the work of indexing by FamilySearch. Offline handwriting recognition has already been shown to be effective in assisting indexers and automating the transcription of historical documents into searchable texts. As documents are collected from all around the world, generalized techniques that are robust to damage and noise are needed. Effective stroke extraction and processing is an important tool in improving current recognition techniques.

Recommended Citation

Wigington, Curtis and Barrett, William (2017) "Intelligent Stitching: Transforming Offline Stroke Extraction for Online Handwriting Recognition," Journal of Undergraduate Research: Vol. 2017: Iss. 1, Article 296.
Available at: https://scholarsarchive.byu.edu/jur/vol2017/iss1/296