Journal of Telecommunication Electronic and Computer Engineering (JTEC),
Год журнала:
2024,
Номер
16(2), С. 27 - 30
Опубликована: Июнь 30, 2024
Interest
in
feature
extraction
for
Handwritten
Character
Recognition
(HCR)
has
been
growing
due
to
numerous
algorithms
aimed
at
improving
classification
accuracy.
This
study
introduces
a
metaheuristic
approach
utilizing
the
Honey
Badger
Algorithm
(HBA)
HCR.
The
Freeman
Chain
Code
(FCC)
is
employed
data
representation.
One
challenge
with
using
FCC
represent
characters
that
results
vary
depending
on
starting
points,
affecting
chain
code's
route
length.
To
address
this
issue,
HBA
proposed
identify
shortest
length
and
minimize
computational
time
performance
metrics
of
HB-FCC
algorithm
are
computation
time.
Experiments
use
code
representations
from
Center
Excellence
Document
Analysis
(CEDAR)
dataset,
containing
126
uppercase
letter
characters.
According
results,
method
achieves
1880.28
requires
only
1.07
seconds
process
entre
set
character
images.
Franklin Open,
Год журнала:
2024,
Номер
8, С. 100141 - 100141
Опубликована: Авг. 10, 2024
Metaheuristic
algorithms
are
commonly
used
in
solving
complex
and
NP-hard
optimization
problems
various
fields.
These
have
become
popular
because
of
their
ability
to
explore
exploit
solutions
problem
domains.
Honey
Badger
Algorithm
(HBA)
is
a
population-based
metaheuristic
algorithm
inspired
by
the
dynamic
hunting
strategy
honey
badgers,
utilizing
digging-seeking
techniques.
Since
its
introduction
2020,
HBA
has
garnered
widespread
attention
been
applied
across
This
review
aims
comprehensively
survey
improvement
application
problems.
Additionally,
conducts
meta-analysis
HBA's
improvements,
hybridization
since
introduction.
According
result
survey,
52
studies
presented
improved
using
chaotic
maps,
levy
flight
mechanism,
adaptive
mechanisms,
transfer
functions,
multi-objective
mechanism
opposition
based
learning
techniques,
20
hybrid
with
other
metaheuristics
101
uses
original
for
wide
acceptance
within
research
community
stems
from
straightforwardness,
ease
use,
efficient
computational
time,
accelerated
convergence
speed,
high
efficacy,
capability
address
different
kind
issues,
distinguishing
it
well-known
approches
presented.
