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In this article, a system to detect rooms in architectural floor plan images is described. We first present a primitive extraction algorithm for line detection. It is based on an original coupling of classical Hough transform with image vectorization in order to perform robust and efficient line detection. We show how the lines that satisfy some graphical… (More)

In this paper we present a system to build synthetic graphical documents for the performance evaluation of symbol recognition systems. The key contribution of this work is the building of whole document like drawings or maps. We exploit the layer property of graphical documents by putting symbol sets in different ways from a same background using… (More)

In this paper, a graph classification approach based on a multi-objective genetic algorithm is presented. The method consists in the learning of sets composed of synthetic graph prototypes which are used for a classification step. These learning graphs are generated by simultaneously maximizing the recognition rate while minimizing the confusion rate. Using… (More)

In this paper, a digital planar curve approximation method based on a multi-objective genetic algorithm is proposed. In this method, the optimization/exploration algorithm locates breakpoints on the digital curve by minimizing simultaneously the number of breakpoints and the approximation error. Using such an approach, the algorithm proposes a set of… (More)

In this paper, we tackle the problem of localizing graph-ical symbols on complex technical document images by using an original approach to solve the subgraph isomor-phism problem. In the proposed system, document and symbol images are represented by vector-attributed Region Ad-jacency Graphs (RAG) which are extracted by a segmenta-tion process and feature… (More)

We present in this paper a graph classification approach using genetic algorithm and a fast dissimilarity measure between graphs called graph probing. The approach consists in the learning of a set of synthetic graph prototypes which are used for a 1NN classification step. Some experiments are performed on real data sets, representing 10 symbols. These… (More)

In this paper, we investigates symbol representation introducing a new hybrid approach. Using a combination of statistical and structural descriptors, we overcome deficiencies of each method taken alone. Indeed, a Region Adjacency Graph of loops is associated with a graph of vectorial primitives. Thus, a loop is both representend in terms of its boundaries… (More)

In this paper, a polygonal approximation approach based on a multi-objective genetic algorithm is proposed. In this method, the optimization/exploration algorithm locates breakpoints on the digital curve by minimizing simultaneously the number of breakpoints and the approximation error. Using such an approach, the algorithm proposes a set of solutions at… (More)

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