Hybrid Optimization Algorithm for Handwritten Document Enhancement

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10256847" target="_blank" >RIV/61989100:27240/24:10256847 - isvavai.cz</a>

Result on the web

<a href="https://www.techscience.com/cmc/v78n3/55948" target="_blank" >https://www.techscience.com/cmc/v78n3/55948</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.32604/cmc.2024.048594" target="_blank" >10.32604/cmc.2024.048594</a>

Result language

angličtina

Original language name

Hybrid Optimization Algorithm for Handwritten Document Enhancement

Original language description

The Gannet Optimization Algorithm (GOA) and the Whale Optimization Algorithm (WOA) demonstrate strong performance; however, there remains room for improvement in convergence and practical applications. This study introduces a hybrid optimization algorithm, named the adaptive inertia weight whale optimization algorithm and gannet optimization algorithm (AIWGOA), which addresses challenges in enhancing handwritten documents. The hybrid strategy integrates the strengths of both algorithms, significantly enhancing their capabilities, whereas the adaptive parameter strategy mitigates the need for manual parameter setting. By amalgamating the hybrid strategy and parameter-adaptive approach, the Gannet Optimization Algorithm was refined to yield the AIWGOA. Through a performance analysis of the CEC2013 benchmark, the AIWGOA demonstrates notable advantages across various metrics. Subsequently, an evaluation index was employed to assess the enhanced handwritten documents and images, affirming the superior practical application of the AIWGOA compared with other algorithms.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

CMC-Computers Materials &amp; Continua

ISSN

1546-2218

e-ISSN

1546-2226

Volume of the periodical

78

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

24

Pages from-to

3763-3786

UT code for WoS article

001205553800029

EID of the result in the Scopus database

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