Research advances in graphics recognition: An update

Kasturi, Rangachar; Luo, Huizhu

doi:10.1007/3-540-63791-5_7

Cited by 4 publications

(1 citation statement)

References 32 publications

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“…In this paper, we have taken the general definition stated above and hence, we have focused our attention on applications and methods developed to identify any meaningful entity in graphic documents. Good reviews on the state-of-the-art about symbol recognition were reported in previous Graphics Recognition Workshops and related conferences [1,2,3,4]. The main goals of this new overview are: first, to update the literature review on symbol recognition; secondly, to give a systematic and structured overview of methods, providing a double and related classification from two points of view, namely, applications and techniques.…”

Section: Introductionmentioning

confidence: 96%

Symbol Recognition: Current Advances and Perspectives

Lladós¹,

Valveny²,

Sánchez³

et al. 2002

Lecture Notes in Computer Science

102

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Abstract. The recognition of symbols in graphic documents is an intensive research activity in the community of pattern recognition and document analysis. A key issue in the interpretation of maps, engineering drawings, diagrams, etc. is the recognition of domain dependent symbols according to a symbol database. In this work we first review the most outstanding symbol recognition methods from two different points of view: application domains and pattern recognition methods. In the second part of the paper, open and unaddressed problems involved in symbol recognition are described, analyzing their current state of art and discussing future research challenges. Thus, issues such as symbol representation, matching, segmentation, learning, scalability of recognition methods and performance evaluation are addressed in this work. Finally, we discuss the perspectives of symbol recognition concerning to new paradigms such as user interfaces in handheld computers or document database and WWW indexing by graphical content.

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Section: Introductionmentioning

confidence: 96%