Electronic documents are easy to interchange, modify, and store. Document image segmentation is a necessary process for transferring paper documents into an electronic form. An adaptive intelligent document segmentation system IDSS is designed and implemented using C programming language. IDSS extracts information unique to the processed document and use it for later processes on the document image. Depending on the grouping level required, the right grouping thresholds are selected from the extracted information. The system is examined using documents from different sources. The system performance is very high, almost 100% of the objects are correctly grouped with a refinement process conducted during a verification phase.