@inproceedings{6dd184252f09490cb070a7463aca90fd,
title = "SURF Algorithm with Convolutional Neural Network as Face Recognition Technique",
abstract = "Recent developments in technology need the methods to become more efficient in various conditions. We can see this situation is much visible in multimedia and verification, where biometrics are used to recognize somebody from images, both as detections of suspicious behaviors and user verification. The paper presents proposed technique for face verification by the use of hybrid method based on SURF and neural network classifier. On the input image SURF is searching for potential key points, for which it creates special maps. These descriptors are forwarded to neural network for analysis and verification. Proposed solution works well and experimental results show good efficiency.",
keywords = "Feature extraction, Identity verification, Neural networks",
author = "Alicja Winnicka and Karolina K{\c e}sik and Dawid Po{\l}ap and Marcin Wo{\'z}niak",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020 ; Conference date: 12-10-2020 Through 14-10-2020",
year = "2020",
doi = "10.1007/978-3-030-61534-5\_9",
language = "English",
isbn = "9783030615338",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "95--102",
editor = "Leszek Rutkowski and Rafal Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Zurada, \{Jacek M.\}",
booktitle = "Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Proceedings",
address = "Germany",
}