Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Zahra Sadat Shariatmadar"'
Publikováno v:
IEEE Access, Vol 9, Pp 154396-154412 (2021)
The Hierarchical Max-pooling models (HMAX) have demonstrated excellent outperformance when integrated with various computer vision algorithms for the purpose of recognizing objects in images. However, the conventional HMAX model has two main problems
Externí odkaz:
https://doaj.org/article/8616253ce68b4f239bdef27d07419def
Autor:
Zahra Sadat Shariatmadar, Karim Faez
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Autonomous object recognition in images is one of the most critical topics in security and commercial applications. Due to recent advances in visual neuroscience, the researchers tend to extend biologically plausible schemes to improve the accuracy o
Autor:
Zahra Sadat Shariatmadar, Karim Faez
Publikováno v:
Optik. 178:1195-1207
Selective attention is a process that enables biological and artificial systems to remove the redundant information and highlight the valuable regions in an image. The relevant information is determined by task driven (Top-Down (TD)) or task-independ
Autor:
Karim Faez, Zahra Sadat Shariatmadar
Publikováno v:
Optik. 125:908-910
Fusion of multiple instances within a modality for improving the performance of biometric verification has attracted much attention in recent years. In this letter, we present an efficient Finger-Knuckle-Print (FKP) recognition algorithm based on mul
Autor:
Karim Faez, Zahra Sadat Shariatmadar
Publikováno v:
ICSIPA
Information fusion of various biometrics for its high performance in biometric recognition system, has recently attracted much attention. So in this paper the information of biometrics in different aspects is considered. At the first, the information
Autor:
Zahra Sadat Shariatmadar, Karim Faez
Publikováno v:
2011 International Conference on Hand-Based Biometrics.
Information fusion of various biometrics has attracted much attention in recent years. So in this paper we fused the information of biometrics in two different aspects. At the first, we investigate the information fusion in single modality, that is,
Autor:
Karim Faez, Zahra Sadat Shariatmadar
Publikováno v:
2011 4th International Congress on Image and Signal Processing.
One of the newest biometric identifier, which is recently used for personal identity authentication, is Finger-Knuckle-Print (FKP). In this paper, we present a novel method for personal identification and identity verification which includes Gabor fi
Autor:
Zahra Sadat Shariatmadar, Karim Faez
Publikováno v:
Journal of Circuits, Systems and Computers. 22:1350050
Biometrics-based authentication is an effective approach which is used for automatically recognizing a person's identity. Recently, it has been found that the finger-knuckle-print (FKP), which refers to the texture pattern produced by the finger knuc