Hand-drawn symbol recognition in graphic documents using deformable template matching and a bayesian - Pattern Recognition, 2000. Proceedings. 15th International Conference on
نویسندگان
چکیده
Hand-drawn symbols can take many different and distorted shapes from their ideal representation. Then, very jlexible methods are needed to be able to handle unconstrained drawings. We propose here to extend our previous work in hand-drawn symbol recognition based on a bayesian fi-amework and deformable template matching. This approach gets jexibility enough to fit distorted shapes in the drawing while keeping fidelity to the ideal shape of the symbol. In this work we define the similarity measure between an image and a symbol based on the distance from every pixel in the image to the lines in the symbol. Matching is carried out using an implementation of the EM algorithm. Thus, we can improve recognition rates and computation time with respect to our previous formulation based on a simulated annealing algorithm.
منابع مشابه
Deformable Template Matching within a Bayesian Framework for Hand-Written Graphic Symbol Recognition
We describe a method for hand-drawn symbol recognition based on deformable template matching able to handle uncertainty and imprecision inherent to hand-drawing. Symbols are represented as a set of straight lines and their deformations as geometric transformations of these lines. Matching, however, is done over the original binary image to avoid loss of information during line detection. It is ...
متن کاملLearning of Structural Descriptions of Graphic Symbols Using Deformable Template Matching
Accurate symbol recognition in graphic documents needs an accurate representation of the symbols to be recognized. If structural approaches are used for recognition, symbols have to be described in ternu of their shape, using structural relationships among extracted features. Unlike statistical pattern recognition, in structutul methods, slwbols are usually manually deJined from expertise knowl...
متن کاملComparison of face verification results on the XM2VTS database - Pattern Recognition, 2000. Proceedings. 15th International Conference on
The paper presents results of the face verification contest that was organized in conjunction with International Conference on Pattern Recognition 2000 [14]. Participants had to use identical data sets from a large, publicly available multimodal database XM2VTSDB. Training and evaluation was carried out according to an a priori known protocol ([7]). Verification results of all tested algorithms...
متن کاملApplication of Deformable Template Matching to Symbol Recognition in Hand-written Architectural Drawings
We propose to use deformable template matching as a new approach to recognise characters and lineal symbols in hand-written line drawings, instead of traditional methods based on vectorization and feature extraction. Bayesian formulation of the deformable template matching allows combining fidelity to the ideal shape of the symbol with maximum flexibility to get the best fit to the input image....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010