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The aim of our work is to realize the implementation of a real-time image rotation on FPGA's board. The method we used is based on a B-spline interpolator. The integration capicity of FPGAs is relatively weak, so the difficulty in this problem is to determine the right coding of the rotation filter while keeping a good accuracy on filtering output. In this article, we remind a few definitions about...
In order to localize the face in an image, our approach consists to approximate the face oval shape with an ellipse and to compute coordinates of the center of the ellipse. For this purpose, we explore a new version of the Hough transformation : the Fuzzy Generalized Hough transformation. To reduce the computation time, we present also a parallel implementation of the algorithm on 2 Digital Signal...
One of the way to extract edges uses the fast wavelet transform algorithm. This technique allows the detection of multiscale edge and is used to detect all the details which are in a picture by modifying the scale. The real time application for edge detection involves the implementation of the algorithm on an integrated circuit like an FPGA and the development of an appropriated board. This article...
This paper introduces a specific Multiple Program Multiple Data (MPMD) architecture designed to address the issues of nuclear instrumentation: pulse processing, real-time, multi-channel flexibility, dead-time management and programmability. The proposed architecture comprises a set of independent and programmable functional units. Their execution is driven by the pulses arrival. It is able to deal...
This article reports a new approach to measure the velocity and the mass flow distribution of granules in the vicinity of a spinning disc in order to improve fertiliser spreading in agriculture. In this approach, the acquisition system consists of a digital camera placed above the disc so that its view axis corresponds to the disc axle. This provides useful geometrical properties to develop a simple...
As nanoscale devices such as OG-CNTFETs are under studies and may be used in a near futur, we choose to investigate in wich application domain such components may be of the most interest. In this paper we present how neural networks can be used to implement functions on nano-scale components. This method has been tested in the image processing application field.
Contactless biometrics provide high comfort and hygiene in person recognition. Because of this, such systems are better accepted by the general public. This paper proposes an adaptive, contactless, biometric system which combines two modalities: palmprint and face. The processing chain has been designed to overcome embedded system constraints and small sample set problem: after a palmprint is extracted...
Analog VLSI on-chip learning Neural Networks represent a mature technology for a large number of applications involving industrial as well as consumer appliances. This is particularly the case when low power consumption, small size and/or very high speed are required. This approach exploits the computational features of Neural Networks, the implementation efficiency of analog VLSI circuits and the...
In fingerprint recognition system, performance of fingerprint feature extraction algorithm is important. We use visual analysis to evaluate this performance. 100 respondents fill a questionnaire consisting of 30 images from fingerprint feature extraction process. We get 12,3 % minutiae points missed by this algorithm. With BOZORTH3 minutiae matching algorithm, the distribution of matching score of...
In order to realize fingerprint recognition system in real time environment, we describe in this paper signal controller to read fingerprint sensor generated in FPGA devices. Basically this signal is generated using state machine. The simulation result for behavioral simulation and signal generation read by logic analyzer are presented in this paper. Initialization and reading time for 76800 pixels...
We designed new photodiodes sensors including current mirror amplifiers. These photodiodes have been fabricated using a CMOS 0.6 micrometers process from Austria Micro System (AMS). The photodiode areas are respectively 1 mm ?? 1 mm and 0.4 mm ?? 0.4 mm with fill factor 98% and total chip area is 2 square millimetres. The sensor pixels show a logarithmic response in illumination and are capable of...
This paper presents a new multi-views face database and some development results on face recognition tasks based on it. Our objective is to find an efficient and simple algorithm for performing face recognition in real time. The image acquisition system is composed of five standard cameras, which together can simultaneously take five pictures of a human face from different perspectives. We address...
In fingerprint recognition system, fingerprint feature extraction algorithm requires good quality fingerprint images to produce good results. Therefore, one step in the preprocessing stage is image enhancement to improve the quality of poor fingerprint image, so the minutiae points can be detected with good results. In this paper, we present how this enhancement process in simple minutiae detection...
A high speed Analog VLSI Image acquisition and pre-processing system is described in this paper. A 64times64 pixel retina is used to extract the magnitude and direction of spatial gradients from images. So, the sensor implements some low-level image processing in a massively parallel strategy in each pixel of the sensor. Spatial gradients, various convolutions as Sobel Alter or Laplacian are described...
Most of the existing fingerprint extraction techniques currently available are based on ridge structure. The ridge usually has thicker structure than the valley, so that more processing time is needed to extract the ridge than extracting the valley. Taking the advantage of the thin structure of the valley, we proposed an algorithm that reduces the time needed for minutiae extraction. The algorithm...
We present in this paper the study of two classifications methods used in order to control in real-time some industrials parts. We present the practical frame in which is made the operations, natures of the anomaly to be detected as well as the features extractions method. We tested two techniques of classification, with different algorithm complexities and performances. We compare the results obtained...
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