Issue:ISSN 2095-1353
CN 11-6020/Q
Director:Chinese Academy of Sciences
Sponsored by:Chinese Society of Entomological;institute of zoology, chinese academy of sciences;
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2008年45 No.2
Advances in the automated insect image identification
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Key Words：insect image, pattern recognition, automated identification system
Abstract：Insect has the richest species diversity on the earth. The task of ins
ect species identification is one of the most fundamental works for many entomol
ogical fields and usually being difficult and complex. At present, reliable inse
ct identification is mainly carried out by taxonomists, but this approach can't
meet practical needs at all. Therefore, many scientists have tried to resolve th
is problem by using modern computing technology. Pattern recognition technology
has developed rapidly and made automated insect image identification feasible. T
he history, underlying theory, general process and the prospects for developing
an automated insect image identification system are briefly reviewed and discuss
ed.