Bacteria Identification From Microscopic Morphology: A Survey

Bacteria Identification From Microscopic Morphology: A Survey
Noor Amaleena Mohamad, Noorain Awang Jusoh, Zaw Zaw Htike and Shoon Lei Win International Islamic University Malaysia, Malaysia
ABSTRACT
Great knowledge and experience on microbiology are required for accurate bacteria identification. Automation of bacteria identification is required because there might be a shortage of skilled microbiologists and clinicians at a time of great need. There have been several attempts to perform automatic background identification. This paper reviews state-of-the-art automatic bacteria identification techniques. This paper also provides discussion on limitations of state-of-the-art automatic bacteria identification systems and recommends future direction of automatic bacteria identification.
KEYWORDS Bacteria Identification, Cocci,Bacilli, Vibrio, Naïve Bayes, Machine Learning Original Source URL: http://airccse.org/journal/ijscai/papers/3214ijscai01.pdf http://airccse.org/journal/ijscai/current2014.html

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