Automatic recognition of handprinted characters—The state of the art

TLDR

This paper surveys the extensive literature on handprint recognition, outlining the field’s challenges. The survey examines recognition algorithms, databases, character models, handprint standards, achievements across numerals and scripts, and discusses data quality, constraints, and human‑machine factors. It highlights characteristics, problems, and results of online handprint recognition across applications, and proposes new emphases and research directions.

Abstract

Based on a study of the extensive literature in handprint recognition, this paper presents a survey in this challenging field. Recognition algorithms, data bases, character models, and handprint standards are examined. Achievements in the recognition of handprinted numerals, alphanumerics, Fortran, and Katakana characters are analyzed and compared. Data quality and constraints, as well as human and machine factors are also described. Characteristics, problems, and actual results on on-line recognition of handprinted characters for different applications are discussed. New emphases and directions are suggested.