Probabilistic Modeling of Signature using the ...
URL: http://www.seipub.org/gpai/paperInfo.aspx?ID=2700
Artificial intelligence needs methods for object modeling having the set of key points. A novel method of Hurwitz- Radon Matrices (MHR) is used in signature modeling. Proposed method is based on the family of Hurwitz-Radon (HR) matrices which possess columns composed of orthogonal vectors. Two-dimensional curve as signature is modeling via different functions as probability distribution functions: polynomial, sinus, cosine, tangent, cotangent, logarithm, exponent, arc sin, arc cos, arc tan and power function. It is shown how to build the orthogonal matrix OHR operator and how to use it in a process of signature modeling.
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Last updated | unknown |
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License | Other (Open) |
Created | over 12 years ago |
id | be82bef3-07de-4acf-b23f-ce274ca1cc22 |
package id | 466a86ef-22ca-4317-a58a-3dd8e07794b7 |
resource type | file |
revision id | c5c01388-ed81-4c53-ba56-24b22757a4df |
state | active |