Handwritten Signatures Verification Through Their Acoustic Patterns Based on the Discrete Wavelet-Packet Transform and Semantic-Matching Classifiers
| Autor: | Yuzo Yano, Vinícius Zani de Faveri, Rodrigo Capobianco Guido, Daniel Angelotti Armiato |
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| Rok vydání: | 2016 |
| Předmět: |
Linguistics and Language
Biometrics Computer Networks and Communications business.industry Computer science Pattern recognition 02 engineering and technology Computer Science Applications Wavelet packet decomposition Artificial Intelligence Discrete wavelet packet transform 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing IRIS (biosensor) Artificial intelligence business Software Information Systems Semantic matching |
| Zdroj: | International Journal of Semantic Computing. 10:557-567 |
| ISSN: | 1793-7108 1793-351X |
| DOI: | 10.1142/s1793351x16400201 |
| Popis: | Biometric authentication based on fingerprints, voice, hand shape, facial measurements and iris analysis, among others, are quite common nowadays. In a similar manner, the analysis of acoustic patterns generated during the friction between pen and paper at the time a person subscribes has been shown to be a feasible, adequate, and non-invasive alternative to those techniques. An interesting implementation for such an approach, which is described in this paper, is based on the association of the time-frequency analysis supported by the discrete wavelet-packet transform with one of two pattern-matching classifiers, namely Euclidian norma and an original scoring equation derived from correlation, acting semantically. Valuable results were obtained during the tests, motivating further research. The proposed technique is novel on literature, offering a contribution to the state-of-the-art. |
| Databáze: | OpenAIRE |
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