Script Identification of Multi-Script Documents: A Survey | Zendy

Kurban Ubul | Zendy; Gulzira Tursun | Zendy; Alimjan Aysa | Zendy; Donato Impedovo | Zendy; Giuseppe Pirlo | Zendy; Tuergen Yibulayin | Zendy

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Script Identification of Multi-Script Documents: A Survey

Author(s) -

Kurban Ubul,

Gulzira Tursun,

Alimjan Aysa,

Donato Impedovo,

Giuseppe Pirlo,

Tuergen Yibulayin

Publication year - 2017

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2017.2689159

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

In recent years, with the widespread of Internet and digitized processing of multi-script documents worldwide, script identification techniques have become more important in the pattern recognition field. Script identification concerns methods for identifying different scripts in multi-lingual, multi-script documents. This paper presents a comprehensive overview on research activities in the field and focuses on the most valuable results obtained so far. The most vital processes in script identification are addressed in detail: identification and discriminating methods, features extraction (local and global), and classification. Different kinds of approaches have been developed and promising results have been achieved. This paper reports SoA performance results. This paper reports methods concerning handwritten, printed, and hybrid document processing. More research is necessary to meet the performance levels essential for everyday applications.

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