A System for Recognizing a Large Class of Engineering Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Rotation Invariant Rule-Based Thinning Algorithm for Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new system for reading handwritten zip codes
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Solving mathematical problems using knowledge-based systems
Mathematics and Computers in Simulation - Special issue: Applications of computer algebra in science, engineering, simulation and special software
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A new system is presented for generalsymbol segmentation, which is applicable forsegmentation of any connected string of symbols,including characters and line diagrams. Using apowerful graph representation and anevolutionary algorithm framework, segmentationhypotheses are initialized and evolved towards afully segmented and recognized string. Theevolutionary segmentation was tested in manydomains including connected digits, connectedcharacters and simple circuit diagrams. Theperformance of the evolutionary algorithmdepends heavily on the symbol recognitionsystem used.