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Face recognition has achieved immense popularity in various fields because of its robustness and accuracy. But pose variation is still a major obstacle to overcome for effective face recognition in an uncontrolled environment. A wide variety of face recognition algorithms have been proposed in the past. In this paper we exhibit a review of some of the common algorithms that expect to conquer on the fundamental impediments in face recognition, i.e., pose variation. An outline of the recognized systems in each of this classification is given and some of the advantages and disadvantages of the algorithms specified in that are inspected. The key contribution of this paper is that we have analyzed the latest state of art techniques in Karhunen-Loeve expansion and Model based methods. From this analysis, we have found that Karhunen-Loeve expansion and Model based methods are giving best results for FERET database giving 95% and CMU-PIE database giving 98.8% recognition rate respectively. We have also tabulated the results and observations of the algorithms mentioned on being tested on some of the renowned and universal databases. Furthermore, an overview of the benefits of face recognition systems and its applications in the real world has also been discussed in this paper.

Objective: The purpose of this research was to develop a fenoverine gastroretentive drug delivery system which, following oral administration should have the ability to enhance and prolong the period of gastric residence time (GRD) with the desired in vitro release profile. Methods: In the present study, fenoverine floating tablets were prepared using an effervescent method using sodium bicarbonate and citric acid as a gas-generating agent. The tablets were formulated using direct compression technology using xanthan gum and sodium alginate as polymers. Pre-compression powders were evaluated for angle of repose, bulk density, tapped density, Carr’s index, and Hausner’s ratio, and the prepared tablets were evaluated for weight variation, thickness, diameter, hardness, friability, drug content, floating lag time, total floating time, and in vitro dissolution studies. The formulations were optimized for the different concentrations of xanthan gum, sodium alginate, and their combinations. Results: All the prepared formulations showed well in vitro buoyancy. The tablets remained buoyant for 6–12 h. The in vitro drug-release pattern of fenoverine floating tablets was adapted to different kinetic models with the highest regression to zero-order and Korsmeyer-Peppas, and the mechanism was found to be a Fickian mechanism. Conclusion: Out of all the formulations prepared, in vitro dissolution studies of the F4 formulation were found to be maximum than other batches, which exhibited desired sustained release time followed by acceptable floating properties.