Humans in the loop: Study of semi-automatic signature recognition based on attributes
| Autor: | Aythami Morales, Julian Fierrez, Derlin Morocho, Javier Ortega-Garcia |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
021110 strategic
defence & security studies LOOP (programming language) business.industry Computer science Forgery detection 0211 other engineering and technologies 02 engineering and technology Crowdsourcing Machine learning computer.software_genre Human being Signature (logic) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Semi automatic business Protocol (object-oriented programming) computer Signature recognition |
| Zdroj: | ICCST |
| DOI: | 10.1109/ccst.2017.8167815 |
| Popis: | The present work analyzes performance, abilities and contributions of the human being (layman) in semi-automatic signature recognition systems. During the last decade the performance of Automatic Signature Verification systems have been improved based on new machine learning techniques and better knowledge about intraclass and interclass variability of signers. However, there is still room for improvements and some real world applications demands lower error rates. This work analyzes collaborative tools such as crowdsourcing and human-assisted schemes developed to improve Automatic Signature Verification systems. The performance of humans in semi-automatic recognition tasks is directly related to the information provided during the comparisons. How humans can help automatic systems goes from direct forgery detection to semiautomatic attribute labeling. In this work, we present recent advances, analyzing their performance according to the same experimental protocol. The results suggest the potential of comparative attributes as a way to improve Automatic Signature Verification systems. |
| Databáze: | OpenAIRE |
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