Points of interests (POIs) describe a geographic entity that users are focused on such as a school. The different types of POIs are represented by the cartographic symbols. Its positional accuracy on a map is usually considered good if the symbols are inside a polygon feature. However, the correct location for the POIs is the place close to the front edge of building footprints. In this study, we aim to develop an algorithm which identifies the possible front edges of buildings by considering the geometry of the network and building blocks in urban areas. The building blocks are derived from amalgamating the footprints near to each other in the partitions obtained from the street network. The each line segment is extracted from the blocks, and its probability of being on the front edge is calculated. Finally, the results are compared by the real statuses obtained from the street perspectives.