基于仿真技术的人脸识别过程建模(通过Matlab内置模块进行系统阐述)

Jozef Bushati, Virtyt Lesha, Dea Strica
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引用次数: 0

摘要

生物识别技术是一个研究和传播领域,它以一种集成的方式带来了许多贡献领域,以产生具有多种应用的产品,特别是在创建个人身份方面。生物识别过程的建模揭示了各个领域的一系列讨论,主要是在医学和数字图像处理领域。这些讨论范围从这些模型的模拟水平到那些使用生物识别系统来识别和识别个体的应用和具体产品。事实上,一个人的许多生物参数都是可识别的,其中有一张脸,它产生了很多关于个人物理数据的信息。根据具体研究,可以使用不同方法组合的面部成分来设计仿真模型,以帮助生成闭源和专用的生物特征识别程序(Das, 2018)。本文通过Matlab测试平台,建立了人脸识别过程的仿真模型。该模型是在主题领域的提案级别创建的,并给出了改进和进一步发展该模拟方法的限制和建议。建模方法包括两部分;第一部分是Matlab程序,它以这样一种方式编码,它取一些图像,代表不同的人的脸,这些图像发布在互联网上的开源数据库中;第二部分是创建一个数据库,保留这些图像,以便在进入新的图像程序时进行人脸识别。面部搜索和检索过程是通过最新版本的Matlab提供的一些内置函数构建的。最后,仿真模型提供了一个新的人脸识别模型,为进一步的讨论留下了空间,并且限制了Matlab中可以支持数据库的相对较少的人脸图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE MODELING OF FACIAL RECOGNITION PROCESS IN PROSPECTIVE OF SIMULATION TECHNIQUES (A methodical elaboration through the built-in modules of Matlab)
Biometrics is a field of study and dissemination that brings a host of contributing domains in an integrated way to generate products that find multiple applications particularly in creating an individual's identity. Modeling biometric processes reveals a series of discussions in various fields, mainly in medicine and in the digital image processing field. These discussions range from the simulation levels of these models to those of application and concrete products that use biometric systems for identifying and recognizing individuals. Indeed, over many biological parameters of an individual to be identifiable, there is the face that generates a lot of information about the physical data of the individual. According to specific studies, facial components combined according to different methods can be used to design simulation models that come in aid of generating closed-source and dedicated programs of biometric recognition (Das, 2018). This paper deals with a simulation model, through the Matlab test-bench, of the facial recognition process. The model is created at the proposal level for the subject field and gives the limits and recommendations for improvements and further developments of this simulation method. The modeling methodology includes two parts; the first part is the Matlab program that has been coded in such a way that it takes some images that represent the faces of different people published in the opensource database on the Internet; the second part is the creation of a database that retains these images to enable face identification when entering a new image program. The facial search and retrieval process are built through some built-in functions that the latest versions of Matlab offer. Finally, the simulation model provides a new facial identification model that leaves room for further discussion and limits to the relatively small number of face images that can support the database in Matlab.
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