Fish species recognition by shape analysis of images
Pattern Recognition
A physically based approach to 2–D shape blending
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Complete shape from imperfect contour: a rule-based approach
Computer Vision and Image Understanding
A fast parallel algorithm for thinning digital patterns
Communications of the ACM
Optimal surface reconstruction from planar contours
Communications of the ACM
Measuring the performance of shape similarity retrieval methods
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Computer Vision
A Rotation Invariant Rule-Based Thinning Algorithm for Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A skeletal measure of 2D shape similarity
Computer Vision and Image Understanding
Pseudo invariant line moment to detect the target region of moving vessels
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Searching the past: an improved shape descriptor to retrieve maya hieroglyphs
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Automatic Egyptian hieroglyph recognition by retrieving images as texts
Proceedings of the 21st ACM international conference on Multimedia
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This paper describes a technique to recognize a Mesoamerican symbol whose shape is extremely variable. We extract symbols from a drawing and we encode them as discrete curves. We perform the recognition using a set of rules that define the correct symbol. One of the rules is the presence of a single symmetry axis. We describe a comparison metric between curves in order to search for symmetries. The other rules used for the recognition concern the morphology of the symbol. The proposed technique proves to be fast and efficient. We present recognition results obtained on various pre-hispanic images. The rule-based approach proposed and implemented here, appears suitable to detect polymorphic signs, a common feature of Mesoamerican symbols. To the best of our knowledge, this is the first study of pattern recognition into the field of Mesoamerican iconography.