In this paper we propose a template matching approach to address the pose problem in face verification, which neither synthesizes the face image, nor builds a model of the face image. Template matching is performed using edginess-based representation of face images. The edginess-based representation of face images is computed using onedimensional (1-D) processing of images. An approach is propo...

Eye detection is important for finding locations of the face landmarks such as nose, ear and mouth on the face. Template matching and normalized cross correlation techniques are used for eye detection. The template matching is better than appearance and feature based method for eye detection in terms of accuracy. The experiment is performed on chufs database of face image for detection of eyes....

For cryptographic algorithms, secret keys should be generated randomly as the security of the system depends on the key, therefore generation of random sequences is vital. Randomness testing is done by means of statistical randomness tests. In this work, we show that the probabilities for the overlapping template matching test in the NIST test suite is only valid for a specific template and nee...

Template matching is a computationally intensive problem aimed at locating a template within a image. When dealing with images having more than one channel, the computational burden becomes even more dramatic. For this reason, in this paper we investigate on a methodology to speed-up template matching on multi-channel images without deteriorating the outcome of the search. In particular, we pro...

Abstract Palm oil is one of the leading plantation sectors in Indonesia. product which consists crude palm and kernel has a high economic value. Indonesia an area 34.18% world’s plantations. Aceh province recorded to have reaching 488 thousand hectares 2020, with plantations owned by Indonesia, especially Aceh, making counting process calculate amount fertilizer used each tree circumference pro...

This paper proposes a 3D model based pose invariant face recognition method that can recognize a face of a large rotation angle from its single nearly frontal view. The proposed method achieves the goal by using an analytic-to-holistic approach and a novel algorithm for estimation of ear points. Firstly, the proposed method achieves facial feature detection, in which an edge map based algorithm...