Feature Selection Using Harmony Search for Script Identification from Handwritten Document Images

Feature Selection Using Harmony Search for Script Identification from Handwritten Document Images

The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the irrelevant, noisy, and non-contributing features, resulting in acceptable classification accuracy. Harmony search algorithm (HSA) is an evolutionary algorithm that is...

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Bibliographic Details
Main Authors: Singh Pawan Kumar, Das Supratim, Sarkar Ram, Nasipuri Mita
Format: Article
Language:English
Published: De Gruyter 2018-07-01
Series:Journal of Intelligent Systems
Subjects:
harmony search algorithm
wrapper feature selection
handwritten script identification
indic scripts
modified log-gabor filters
support vector machine
Online Access:https://doi.org/10.1515/jisys-2016-0070

Internet

https://doi.org/10.1515/jisys-2016-0070

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