Writer identification using machine learning approaches: a comprehensive review

We present a comprehensive review of writer identification methods and intend to provide taxonomy of dataset, feature extraction methods, as well as classification for writer identification

Arshia Rehman; Saeeda Naz; Muhammad Imran Razzak

2018

Scholarcy highlights

  • Handwriting is one of the most common types of questioned writing encountered and frequently attracts the attention in litigation
  • Writing behavior and individualities are examined for similarities for both specimen and questioned document, it is very efficient and effective strategy for biometrics
  • We present a comprehensive review of writer identification methods and intend to provide taxonomy of dataset, feature extraction methods, as well as classification for writer identification
  • We grouped the discussion into English, Arabic, Western and Other languages from script prospective, whereas, from algorithm and methods perspective, we grouped the discussion with respect to implementation steps sequence
  • El-Sherif EA, Abdelazeem S A two-stage system for Arabic handwritten digit recognition tested on a new large database

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