A supervised algorithm with a new differentiated-weighting scheme for identifying the author of a handwritten text

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Abstract

In this paper a new approach is presented for tackling the problem of identifying the author of a handwritten text. This problem is solved with a simple, yet powerful, modification of the so called ALVOT family of supervised classification algorithms with a novel differentiated-weighting scheme. Compared to other previously published approaches, the proposed method significantly reduces the number and complexity of the text-features to be extracted from the text. Also, the specific combination of line-level and word-level features used introduces an eclectic paradigm between texture-related and structure-related approaches.

Original languageEnglish
Pages (from-to)1139-1144
Number of pages6
JournalPattern Recognition Letters
Volume32
Issue number8
DOIs
StatePublished - 1 Jun 2011

Keywords

  • ALVOT algorithm
  • Author identification
  • Differentiated-weighting
  • Handwritten text
  • Supervised pattern recognition

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