Prototipo de un sistema biométrico de huellas labiales para la identificación y reconocimiento de estudiantes de la Universidad Santo Tomás

Abstract

Introduction: Biometric identification systems are tools that allow to measure and identify the characteristics of human beings, based on one or more unique behavioral or physical traits in each individual. The Cheiloscopy is a biometric identification method, which is based on the recognition of the patterns of the lip prints, serving as an alternative in the identification, validation and testing of criminal events, thus strengthening the strategies in the legal, forensic and security fields. Objectives: With the implementation of a biometric recognition and identification system prototype supported in the lip prints, an alternative is established that will allow capturing this trait with greater precision and its storage, which will allow to close processes of duels before violent events, perform collations in a quick and effective way, and identify people when this is required. With this motivation, the development and validation of a biometric system prototype is presented to carry out the registration and authenticity procedures of the identity of people with digital images of the lip prints. Materials and methods: In order to develop what was proposed, a COMS sensor camera, artificial fluorescent lighting sources and a software module based on artificial vision and computational artificial neural networks were used, which simulate the behavior of the human brain, aiming to solve problems in the same way as it does this, using conventional algorithmic techniques. For the creation of the application, the programming language "Python" (Python Programming Language) was used, which facilitated a high level of object-oriented programming. Later the isolation of the regions of interest of the rest of the image was made, with the software library called "Opencv" (Open Source Computer Vision), which is a library of artificial vision, directed fundamentally to the vision by computer in real time, to then use the thresholding as a segmentation technique and finally make the comparison of features using "feature matching by brute force" Results: Lip prints for 100 students were taken, an entry was created in the database for each user in order to validate the identity and a correct rejection of the non-registered users was evidenced, as well as an acceptance in all the registered users. This generated a true rejection rate and true acceptance of 100% with an average time of 454.32 seconds to give the final result. Conclusions: In the present investigation, the creation of a new concept for the identification of the means in the techniques of cheiloscopy was evidenced. The result of the application of new technologies and methods will greatly facilitate the task of all agencies that require this service.