Synthetic scene character generator and ensemble scheme with the random image feature method for japanese and chinese scene character recognition

Research output: Contribution to journalArticlepeer-review

Abstract

Scene character recognition has been intensively investigated for a couple of decades because it has a great potential in many applications including automatic translation, signboard recognition, and reading assistance for the visually-impaired. However, scene characters are difficult to recognize at sufficient accuracy owing to various noise and image distortions. In addition, Japanese scene character recognition is more challenging and requires a large amount of character data for training because thousands of character classes exist in the language. Some researchers proposed training data augmentation techniques using Synthetic Scene Character Data (SSCD) to compensate for the shortage of training data. In this paper, we propose a Random Filter which is a new method for SSCD generation, and introduce an ensemble scheme with the Random Image Feature (RI-Feature) method. Since there has not been a large Japanese scene character dataset for the evaluation of the recognition systems, we have developed an open dataset JPSC1400, which consists of a large number of real Japanese scene characters. It is shown that the accuracy has been improved from 70.9% to 83.1% by introducing the RI-Feature method to the ensemble scheme.

Original languageEnglish
Pages (from-to)2002-2010
Number of pages9
JournalIEICE Transactions on Information and Systems
VolumeE104D
Issue number11
DOIs
Publication statusPublished - 2021

Keywords

  • Character recognition
  • Ensemble system
  • Japanese scene character recognition
  • Scene character dataset
  • Synthetic scene character data

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Synthetic scene character generator and ensemble scheme with the random image feature method for japanese and chinese scene character recognition'. Together they form a unique fingerprint.

Cite this