Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Fatma G. Hashad"'
Efficient Multi-Biometric Secure-Storage Scheme Based on Deep Learning and Crypto-Mapping Techniques
Autor:
Ahmed Sedik, Ahmed A. Abd El-Latif, Mudasir Ahmad Wani, Fathi E. Abd El-Samie, Nariman Abdel-Salam Bauomy, Fatma G. Hashad
Publikováno v:
Mathematics, Vol 11, Iss 3, p 703 (2023)
Cybersecurity has been one of the interesting research fields that attract researchers to investigate new approaches. One of the recent research trends in this field is cancelable biometric template generation, which depends on the storage of a ciphe
Externí odkaz:
https://doaj.org/article/3d37da85a4664d73b0dae8ea1d85fb80
The issue of cybersecurity is one of the important fields which is involved in different research trends. Biometric security is one of these trends which is involved in several applications such as access control systems and online identity verificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36cbc87d619c8b110eb6663c096fe892
https://doi.org/10.21203/rs.3.rs-2241969/v1
https://doi.org/10.21203/rs.3.rs-2241969/v1
Autor:
Sayed El-Rabaie, Osama Zahran, Moawad I. Dessouky, Fathi E. Abd El-Samie, Ibrahim F. Elashry, Ghada M. El-Banby, Fatma G. Hashad
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 29:133-142
Peoples’ biometrics, such as fingerprints, are unique , as a result it can be used in many evidence security requests, such as employees’ registration gate, crime investigation, and revealing smart phones. The security of fingerprints is very cri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::907c4ecc4ecebefeb8688058a4e67ec1
https://doi.org/10.21608/mjeer.2020.103957
https://doi.org/10.21608/mjeer.2020.103957
Autor:
El-Sayed M. El-Rabaie, Fathi E. Abd El-Samie, Ibrahim F. Elashry, Fatma G. Hashad, Osama Zahran
Publikováno v:
Multimedia Tools and Applications. 78:27351-27381
This paper presents a fingerprint image encryption scheme based on fingerprint image fusion with another visible image that is rich in details. The encryption process is performed with chaotic Baker map, which has large immunity to noise. The image f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07731d46d6b047e6f422fe0a3bfce7da
https://doi.org/10.1007/s11042-019-7580-x
https://doi.org/10.1007/s11042-019-7580-x
Autor:
Osama Zahran, El-Sayed M. El-Rabaie, Ibrahim F. El Ashry, F. E. Abd El-Samie, Fatma G. Hashad
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 27:165-182
This paper presents two chaotic image encryption plans combined with Discrete Wavelet Transform (DWT) to encrypt unique fingerprint. In the first proposal, the fingerprint which has few details (low entropy) is fused with another image which is rich
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::166e2669c649eefd0f3433e12a85afd8
https://doi.org/10.21608/mjeer.2018.63187
https://doi.org/10.21608/mjeer.2018.63187
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 27:183-211
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caf35e8cf81e8e6bab437b3fe2882900
https://doi.org/10.21608/mjeer.2018.63188
https://doi.org/10.21608/mjeer.2018.63188
Autor:
Maha Awad, Heba A. El-Khobby, Saleh A. Alshebeili, Mustafa M. Abd Elnaby, Salaheldin M. Diab, Fathi E. Abd El-Samie, El-Sayed M. El-Rabaie, B. M. Sallam, Said E. El Khamy, Fatma G. Hashad, Osama S. Faragallah, Alaa M. Abbas
Publikováno v:
Optik. 127:484-492
In storing large databases of images such as fingerprint and medical databases, the required memory size becomes a great challenge. This work demonstrates a framework for reducing the size of large image databases used in pattern recognition applicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fff34d5a9f4bae54aaf7e5d33a5f3e65
https://doi.org/10.1016/j.ijleo.2015.08.122
https://doi.org/10.1016/j.ijleo.2015.08.122
Publikováno v:
Pattern Recognition and Image Analysis. 20:360-369
This paper presents a new fingerprint recognition method based on mel-frequency cepstral coefficients (MFCCs). In this method, cepstral features are extracted from a group of fingerprint images, which are transformed first to 1-D signals by lexicogra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::284821efd12590b6fea85dd1c8024650
https://doi.org/10.1134/s1054661810030120
https://doi.org/10.1134/s1054661810030120
Publikováno v:
2009 International Conference on Computer Engineering & Systems.
Quality enhancement of fingerprint images is important for a good performance of Automatic Fingerprint Identification System (AFIS). In this paper, a hybrid fingerprint enhancement algorithm is presented. This algorithm is based on morphological enha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c54932fea734442aa78fd0e4cab1847
https://doi.org/10.1109/icces.2009.5383311
https://doi.org/10.1109/icces.2009.5383311
Publikováno v:
2009 International Conference on Computer Engineering & Systems.
This paper presents a new fingerprint identification method based on mel frequency cepstral coefficients (MFCCs). This method is based on the transformation of the fingerprint images into a 1-D signals and the extraction of the MFCCs from these signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08e6f6c55c5a7c0f8328dae18769e6aa
https://doi.org/10.1109/icces.2009.5383272
https://doi.org/10.1109/icces.2009.5383272