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Palm leaves were used as a medium of recording information about 700 years ago. This work deals with the recognition of Telugu palm leaf characters by acquiring 3D data using a contact-type profiler. A novel concept of using a 3D inherent feature, i.e. depth of incision is proposed to eliminate...
Vehicular ad hoc networks (VANETs) are a collection of vehicular nodes that perform as a mobile hosts form a temporary network without the aid of any centralised infrastructure, so it is a sub-class of ad hoc network. It ensures the quality of service (QoS) for different VANET applications....
In this investigation, an efficient hybrid approach involving phase congruency (PC) and shift invariant feature transform (SIFT) for face recognition is presented. The present study exploits the advantages of PC and SIFT together for the purpose of efficient feature extraction for the facial...
This paper proposes an effective adaptive-scale convolutional neural networks (A-SCNN) for texture image analysis. We combine the multi-scale texture image analysis with the efficient feature space of a convolutional neural network to extract characteristic texture features. These latter encode...
Non-permanent facial makeup is one of the most difficult problems inhibiting face recognition systems in security applications. In this paper, a new method is proposed for makeup-invariant face identification and verification. Face images from the virtual makeup (VMU) and YouTubemakeup (YMU)...
There are several commercial software for medical image dataset segmentation. However, most of them are expensive and not user-friendly. With our proposal of a new open-source software with a simple and specific graphical user interface (GUI), it is easy to segment a foetus from a 3D ultrasound...
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