Add to ORKGThis paper presents a study of wavelet self-organizing maps (WSOM) for face recognition. The WSOM is a feed forward network that estimates optimized wavelet based for the discrete wavelet transform (DWT) on the basis of the distribution of the input data, where wavelet basis transforms are used as activation function
In this brief, multimodal wavelet transforms for face recognition is proposed for feature extraction...
Effective facial feature is needed to build a robust face recognition system capable of suppress the...
In this paper, a multi-resolution feature extraction algorithm for face recognition is proposed base...
Proceeding of: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 20...
Proceeding of: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 20...
A human face representation and recognition system, based on the wavelet packet method and the best ...
Face recognition is promising as an active research area spanning several disciplines such as comput...
This paper presents novel technique for recognizing faces. From the last two decades, face recogniti...
Abstract- Automatic face recognition system is an important component of intelligent human computer ...
The increased use of face recognition techniques leads to the development of improved methods with h...
Communicated by (xxxxxxxxxx) This paper presents a new appoach of face recognition based on wavelet ...
In this Master thesis studies the impact of wavelet transform on solving the common face recognition...
Purpose - Aims to develop an efficient and robust system for real-time personal identification by au...
Content based indexing methods are of great interest for image and video retrieval in audio visual a...
Biometrics is the study of automated method to recognize or identify people based on one or more par...
In this brief, multimodal wavelet transforms for face recognition is proposed for feature extraction...
Effective facial feature is needed to build a robust face recognition system capable of suppress the...
In this paper, a multi-resolution feature extraction algorithm for face recognition is proposed base...
Proceeding of: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 20...
Proceeding of: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 20...
A human face representation and recognition system, based on the wavelet packet method and the best ...
Face recognition is promising as an active research area spanning several disciplines such as comput...
This paper presents novel technique for recognizing faces. From the last two decades, face recogniti...
Abstract- Automatic face recognition system is an important component of intelligent human computer ...
The increased use of face recognition techniques leads to the development of improved methods with h...
Communicated by (xxxxxxxxxx) This paper presents a new appoach of face recognition based on wavelet ...
In this Master thesis studies the impact of wavelet transform on solving the common face recognition...
Purpose - Aims to develop an efficient and robust system for real-time personal identification by au...
Content based indexing methods are of great interest for image and video retrieval in audio visual a...
Biometrics is the study of automated method to recognize or identify people based on one or more par...
In this brief, multimodal wavelet transforms for face recognition is proposed for feature extraction...
Effective facial feature is needed to build a robust face recognition system capable of suppress the...
In this paper, a multi-resolution feature extraction algorithm for face recognition is proposed base...