The fundamentals of unimodal palmprint authentication based on a biometric system: A review

Biometric system can be defined as the automated method of identifying or authenticating the identity of a living person based on physiological or behavioral traits. Palmprint biometric-based authentication has gained considerable attention in recent years. Globally, enterprises have been exploring biometric authorization for some time, for the purpose of security, payment processing, law enforcement CCTV systems, and even access to offices, buildings, and gyms via the entry doors. Palmprint biometric system can be divided into unimodal and multimodal. This paper will investigate the biometric system and provide a detailed overview of the palmprint technology with existing recognition approaches. Finally, we introduce a review of previous works based on a unimodal palmprint system using different databases

Advanced Image Edge Detection

Detekce hran v obraze je jedním fundamentálních postupů užitých v oblasti zpracování obrazu a počítačového vidění. Cílem této práce je implementace a porovnání zvolených konvenčních a pokročilých metod, včetně porovnání jejich výkonnosti. Práce popisuje implementaci a evaluaci metody Linked Edges as Stable Region Boundaries . Úspěšnost metod je vyhodnocena za použití Berkeley Segmentation Data Set and Benchmarks 500 .Edge detection is one of the fundamental techniques used in the fields of image processing and computer vision. Goal of this thesis is an implementation and evaluation of chosen basic and advanced edge detection methods, including performance evaluation. Thesis describes implementation and performance evaluation of Linked Edges as Stable Region Boundaries method. Performance is evaluated using Berkeley Segmentation Data Set and Benchmarks 500 .