Análisis Comparativo de Herramientas Software Libre y Propietario para Desarrollar Una Aplicación de Reconocimiento de Imágenes.

Abstract

In the present investigation exists models of authentication based on the face recognition but without orienting to the study of software tools for which the comparative analysis between free and owner tools was made to develop an image recognition application. The VisualStudio.Net 2013 and Netbeans 8.0.2 tools were applied to develop the recognition of facial images based on a structured method to establish comparison analysis and determine what type of tool is suitable for system development based on facial recognition. An investigation for obtaining quasi-experimental results was made, founded on the manipulation, since two prototypes will be established in which their performance will be verified and determined which of them is the safest at the moment the students enter to the system to revise their contents of the subject: Informatic Didactics; in addition, it was founded in the Non-Randomization due to the prototypes will be subjected to evaluation, it will not be the result of a randomized selection. According to the comparative analysis of the facial recognition prototypes in VisualStudio.Net 2013 and Netbeans 8.0.2 and the establishment of the parameters of comparison to determine the security, such as: initialization, detection, pre-processing, extract of characteristics, comparison and recognition, security and by creating quantitative values, compliance is determined security of VisualStudio.Net 2013 is determined in 94.44% and Netbeans 8.0.2 in 86.11%. The elaboration of the prototypes with both development tools have been of great usefulness to obtain the results in the investigation; due to by using these prototypes, substantial differences have been found in the installation of the prototype development tools, in the analysis and implementing of parameters of the same. The students of the School in Systems Engineering of ESPOCH must be encouraged in the creation of projects oriented to the facial security context based on free and owner tools and their application in the locality.