Dual iris authentication system using dezert smarandache theory

In this paper, a dual iris authentication using Dezert Smarandache theory is presented. The proposed method consists of three main steps: In the first one, the iris images are segmented in order to extract only half iris disc that contains relevant information and is less affected by noise. For that, a Hough transform is used. The segmented images are normalized by Daugman rubber sheet model. In the second step, the normalized images are analyzed by a bench of two 1D Log-Gabor filters to extract the texture characteristics. The encoding is realized with a phase of quantization developed by J. Daugman to generate the binary iris template. For the authentication and the similarity measurement between both binary irises templates, the hamming distances are used with a previously calculated threshold. The score fusion is applied using DSmC combination rule. The proposed method has been tested on a subset of iris database CASIA-IrisV3-Interval. The obtained results give a satisfactory performance with accuracy of 99.96%, FAR of 0%, FRR of 3.89%, EER of 2% and processing time for one iris image of 12.36 s

Maxi dual axis solar tracker system

In this work, a maxi dual axis solar tracker is proposed. This tracker is used to track the sun path within a day and during a year. The tracking system is composed of two parts: mechanical and electrical parts. The mechanical part is composed of panel carrier, panel carrier rotator according to horizontal/vertical axis, two actuators. The electrical part is composed of light sensor, microcontroller, relays. The light sensor receives an artificial light and sends a potential difference as an analog signal to microcontroller. The microcontroller converts the analog signal into a digital signal using ADC and sends it to relays. The relays activate the two actuators to orient the maxi solar PV into the artificial light with the purpose to produce maximum energy