Title: A summary study on handwritten documents' word spotting

Authors: Manal Boualam; Youssef Elfakir; Ghizlane Khaissidi; Mostafa Mrabti

Addresses: Laboratory of Information and Interdisciplinary Physics, ENS, University Sidi Mohamed Ben Abdellah, Fes, Morocco ' Laboratory of Information and Interdisciplinary Physics, ENS, University Sidi Mohamed Ben Abdellah, Fes, Morocco ' Laboratory of Information and Interdisciplinary Physics, ENS, University Sidi Mohamed Ben Abdellah, Fes, Morocco ' Laboratory of Information and Interdisciplinary Physics, ENS, University Sidi Mohamed Ben Abdellah, Fes, Morocco

Abstract: The researchers have focused on the techniques used to create systems for data protection such as signature verification, investigation in crimes, handwriting mails, graphical documents analysing, human assisting, etc. Recently, several researchers have focused on creating an optimal system for data processing in handwriting documents. This paper aims to present an overview about the studies and techniques used to achieve this system. The paper presents at first the most used databases, then a general pipeline diagram for word spotting system, next in each step (pre-processing, segmentation, feature extraction and classification) the most used techniques/methods and a summary table about the published researches are presented and finally the latest studies in this field.

Keywords: handwritten; automatic research; features extraction; classification; word spotting.

DOI: 10.1504/IJDSSS.2021.114558

International Journal of Digital Signals and Smart Systems, 2021 Vol.5 No.2, pp.152 - 166

Received: 12 Dec 2019
Accepted: 16 Mar 2020
Published online: 27 Apr 2021 *

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