An unconstrained handwriting recognition system

Abstract. In this paper, an integrated offline recognition system for unconstrained handwriting is presented. The proposed system consists of seven main modules: skew angle estimation and correction, printedhandwritten text discrimination, line segmentation, slant removing, word segmentation, and character segmentation and recognition, stemming from the implementation of already existing algorithms as well as novel algorithms. This system has been tested on the NIST, IAM-DB, and GRUHD databases and has achieved accuracy that varies from 65.6% to 100% depending on the database and the experiment.

• Type: Journal
• Year: 2002
• Where: IJDAR
• Authors: Ergina Kavallieratou, Nikos Fakotakis, George K. Kokkinakis
• Keywords: IJDAR 2002, Integrated Offline Recognition, Line Segmentation, Unconstrained Handwriting