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Face detection becomes an important task carried out in biometric-based security system and identification application. This paper presents the detailed investigations on different methods suffering from accuracy and computational complexity used for the face detection and recognition. The face...
In this paper, we investigate multiple snapshot fusion of textural features for palmvein recognition including identification and verification. Although the literature proposed several approaches for palmvein recognition, the palmvein performance is still affected by identification and...
Skin detection is very challenging because of the differences in illumination, cameras characteristics, the range of skin colours due to different ethnicities and many other variations. New effective and accurate methodologies are developed for skin colour detection to easily identify human's...
Predicting users' age vis-à-vis gender is imperative in the present days. This study identifies a method and analyses the performance of that method for predicting the users' age (≤18/18+) and their gender(male/female) using the pattern developed while typing on a touchscreen of a smartphone...
Minutiae extraction-based fingerprint recognition is important for person authentication. However, missing and spurious minutiae were leads to inaccuracy. Herein an attempt has been made to overcome this challenge and achieve a higher degree of accuracy for minutiae extraction. In pre-processing...
The recently introduced deep neural networks are artificial neural networks that contain multiple hidden layers and can facilitate computational models to acquire data representation with multiple levels of abstraction, thereby showing consistently good results in the areas of speech/visual...
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