Land subdivision is one of the most important works in cadastral surveying. It includes every process that concerned with making separated cadastral pieces by land subdividing into small parts for several objectives such as selling, preparing for lan
d irrigation or land improvements…etc. There are several cases for land subdivision. Land subdivision can be performed using three methods, first: the graphical method, second mathematical method and the last one: the method that depends on the engineering software such as Land Development software.
This paper introduces a system to recognize labels of time plans, where labels are
extracted from time plan. This labels are images, so spatial segmentation is used to extract
images of labels only. Size of images of labels are made same using medi
an's algorithm for
two purposes. The first one is to create database training for used neural networks. The
second is to recognizing's processing. Two methods of recognizing are dependent on using
neural networks technic: classification using perceptron network and recognizing using
back propagation network. Perceptron network is built to take image as input and to give
classification index as output for label. Then label is recognize dependent on stored table
of ASCII for label. Back propagation network is designed to recognize images for all
letters of English alphabet that are used in time plan. Results of research appear efficiency
of designed system to recognize labels of time plan from their images for both methods
after system had been applied on three time plans.
