Volume 13, Number 2/3/4

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

  Authors

Maan Ammar¹, Khuzama Ammar², Nawara Ammar³, Kinan Mansour⁴ and Waad Ammar⁵, ¹Al Andalus University for medical sciences, Syria, ²Damascus University Educational Hospital (AL ASSAD), Syria, ³Ibn Alhaytham Company for pharmaceutical industries, Syria, ⁴Zain Al Abedeen Educational Hospital, Karbalaa, Iraq, ⁵Khadija Al-Kubra Hospital, Karbala, Iraq

  Abstract

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.

  Keywords

bacteria type detection, bacteria colony image, generating expert systems, guided heuristic search, hybrid intelligence.