Similarity assessment of floor plans : Tackling the challenge of how to compare floor plans with each other

Abstract: This paper tackles the challenge of how to compare floor plans with each other. A lot of different methods were used to analyze floor plan images, such as different kinds of pixel-based breadth-first search algorithms for finding walls, doors, and windows. Python-tesseract was used to read text labels in the floor plan, which was of great use when rooms were to be identified. The extracted information from over 1000 floor plans was then used to create a comparison program, which spits out the most similar floor plans to any given floor plan. The results of the extraction part were pretty good for most of the floor plans. Walls, doors, and windows were often accurately found, and the room identification worked very well compared to other known methods. Using the extracted data to find similar floor plans worked splendidly. The extraction part of the project had its flaws and can be improved, but even so, this method of assessing similarity between floor plans works very well.