A new database for online handwritten Mongolian word recognition

摘要

A new online handwritten Mongolian word database, MRG-OHMW, is introduced in this paper. This database contains 946 Mongolian words produced by 300 persons from Mongolian ethnic minority. These Mongolian words are composed of one to fourteen Mongolian characters, and selected from large-scale Mongolian text corpus according to the frequencies of usage. The current version of this database is collected using Anoto pen on paper. The database is further annotated using Mongolian word-level string alignment strategy. We partition the samples into training and test sets, and evaluate the database using the CNN-based recognizer as a baseline. Experimental results reveal a big challenge to higher recognition performance. To our knowledge, MRG-OHMW is the first publicly available database for online handwritten Mongolian research. It provides a basic database to compare empirically different algorithms for online handwritten Mongolian word recognition.