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In this paper, we propose an efficient personal identification system based on palmprint recognition. Palmprint is widely used in biometric-based identification system. Palmprint is robust and obtained in a simple way. After extracting region of interest (ROI), the ROI is passed through Gabor filters with different wavelengths and orientations. Then, binarized statistical image features (BSIF) of...
This study examines and analyzes the role of human resources management on improving the effectiveness of education staff. The aim of this study is to analyze the main indicators of organizational management that includes5subscales, searching for staff, staff recruitment and selection, design and implementation of training programs, employee performance evaluation and training of trainers in the organizational...
Attention to picture of face, particularly the human face is related to complex information processing in the brain. Humans pay more attention to human faces than other images. The purpose of this study is to verify the existence of particular attention to facial images and categorize the difference between attending to facial and non-facial images through a pair of different pictures as the targets...
Biometrics are unique, reliable and stable physical or behavioral characteristics that can be effectively used for personal identification. One of these robust biometrics is palmprint. In personal identification systems, feature extraction is an important issue. In this paper, we propose an algorithm that selects proper features in two stages. At first isometric projection (IsoP) and then linear discriminant...
From different methods for personal identification, biometric features are most concerned. One of robust biometrics for personal identification is palmprint. Feature extraction from palm area is important issue and can determine complexity and efficiency of identification system. In this paper, at first Contourlet transform of region of interest (ROI) calculated. Then, gray-level co-occurrence matrix...
Head pose estimation is used in many applications such as driver fatigue estimation. Further, it is considered as the primary step in face recognition systems. In this work, we propose a novel algorithm that estimates head pose by considering the locations of facial components such as eyes and mouth. At first, we use two algorithms for developing a new image in which the eyes and mouth are emphasized...
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