Detecting specific types of bacteria in a microscopic Bacteria Colony Image (BCI) is a tedious and timeconsuming task. Based on the previous experience in the field of computerized signature and handwriting analysis, we generated two expert systems to detect specific types of bacteria in BCI and to extract handwriting from binary bank checks images using the same software platform developed for this purpose. Using the Domain Expert Guided Heuristic Search (DEGHS) and the platform, we generated an expert system that succeeded in cases where no algorithmic approach can be applied. We exploited the fact that the function of an expert system is determined mainly by its knowledge base to generate different expert systems by modifying the content of the knowledge base. The mechanism used expedite very much the development of the expert system to reach its best performance.

/pdf/generating-expert-systems-to-detect-specific-bacteria-types-1vuxwl4k.pdf

Generating Expert Systems to Detect Specific Bacteria Types and Extract Handwriting from Banck Checks

We introduce in this paper what can be considered a new trend in expert systems field. It is generating different expert systems using the same software platform developed for this purpose, and called “Expert Systems Generating Machine for Image Processing Applications ESGMIPA”. The machine is used to generate different expert systems in completely different application fields which indicates the feasibility of the proposal. Using what we called Domain Expert Guided Heuristic Search (DEGHS) and the machine, we generated an expert system that succeeded in cases where no algorithmic approach can be applied. Generating different expert systems using the same machine depends on the well-known fact that the function of an expert system is determined mainly by its knowledge base. The machine developed expedite very much the development of the expert system to reach best performance. The role of domain expert and the positive effect of the interaction between different domain experts in different fields is highlighted.

/pdf/expert-systems-generating-machine-for-image-processing-2heu5j6a.pdf

Expert Systems Generating Machine for Image Processing Applications

A BSTRACT Detecting specific types of bacteria in a microscopic Bacteria Colony Image (BCI) is a tedious and time-consuming task. Based on the previous experience in the field of computerized signature and handwriting analysis, we generated two expert systems to detect specific types of bacteria in BCI and to extract handwriting from binary bank checks images using the same software platform developed for this purpose. Using the Domain Expert Guided Heuristic Search (DEGHS) and the platform, we generated an expert system that succeeded in cases where no algorithmic approach can be applied. We exploited the fact that the function of an expert system is determined mainly by its knowledge base to generate different expert systems by modifying the content of the knowledge base. The mechanism used expedite very much the development of the expert system to reach its best performance.

G enerating e xpert s ystems to d etect s pecific b acteria t ypes and e xtract h andwriting from b anck c hecks

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Expert Systems Generating Machine for Image Processing Applications

G enerating e xpert s ystems to d etect s pecific b acteria t ypes and e xtract h andwriting from b anck c hecks

Generating Expert Systems to Detect Specific Bacteria Types and Extract Handwriting from Banck Checks