Invariant features from the trace transform for jawi character recognition

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The Trace transform, a generalization of the Radon transform, allows one to construct image features that are invariant to a chosen group of image transformations. It consists of tracing an image with straight lines along which certain functionals of the image function are calculated. It can be useful to construct invariant features to rotation, translation and scaling of the image. In this paper, we demonstrate the usefulness of the features in classification of Jawi character images using multilayer perceptron neural networks. We compare the result of character recognition with those obtained by using features based on affine moment invariants.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages256-263
Number of pages8
Volume5518 LNCS
EditionPART 2
DOIs
Publication statusPublished - 2009
Event10th International Work-Conference on Artificial Neural Networks, IWANN 2009 - Salamanca
Duration: 10 Jun 200912 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5518 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10th International Work-Conference on Artificial Neural Networks, IWANN 2009
CitySalamanca
Period10/6/0912/6/09

Fingerprint

Character recognition
Character Recognition
Radon
Multilayer neural networks
Trace
Transform
Neural networks
Invariant
Image Transformation
Moment Invariants
Affine Invariant
Radon Transform
Tracing
Perceptron
Straight Line
Multilayer
Scaling
Neural Networks
Demonstrate

Keywords

  • Jawi character recognition
  • Moment invariant
  • Multilayer perceptron neural network
  • Trace transform

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Nasrudin, M. F., Omar, K., Liong, C. Y., & Zakaria, M. S. (2009). Invariant features from the trace transform for jawi character recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 5518 LNCS, pp. 256-263). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5518 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-02481-8_37

Invariant features from the trace transform for jawi character recognition. / Nasrudin, Mohammad Faidzul; Omar, Khairuddin; Liong, Choong Yeun; Zakaria, Mohamad Shanudin.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5518 LNCS PART 2. ed. 2009. p. 256-263 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5518 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nasrudin, MF, Omar, K, Liong, CY & Zakaria, MS 2009, Invariant features from the trace transform for jawi character recognition. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 5518 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5518 LNCS, pp. 256-263, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, 10/6/09. https://doi.org/10.1007/978-3-642-02481-8_37
Nasrudin MF, Omar K, Liong CY, Zakaria MS. Invariant features from the trace transform for jawi character recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 5518 LNCS. 2009. p. 256-263. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-02481-8_37
Nasrudin, Mohammad Faidzul ; Omar, Khairuddin ; Liong, Choong Yeun ; Zakaria, Mohamad Shanudin. / Invariant features from the trace transform for jawi character recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5518 LNCS PART 2. ed. 2009. pp. 256-263 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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