Developers of machine-vision systems face a significant challenge: Their systems must accurately locate reference patterns that may appear different from one product to the next. For many years, ...

The National Institute of Standards and Technology (NIST) recently released the results of the Minutiae Interoperability Exchange Test (MINEX) II Performance of Fingerprint Match-On-Card (MOC) ...

When it comes to DNA analysis, large-scale pattern matching algorithms are constantly being refined to add a performance and efficiency boost to speed the time to result and accordingly, the practical ...

That is the ability machine learning algorithms provide us with i.e. pattern matching. But what’s next? How is a system going to decide after a successful match?

An algorithm, which determines the range of a preceding vehicle by a single image, had been proposed. It uses a "Range-Window Algorithm". Here in order to realize higher robustness and stability, the ...

Finite State Automata (FSA): A computational model used for recognising patterns through states and transitions, often applied in the design of efficient matching algorithms.

Deep-learning algorithms are excellent at pattern-matching in images; they can be trained to detect different types of cancer in a CT scan, differentiate diseases in MRIs, and identify ...

The pattern-matching software has been implemented within a Web-based library created for the management of generic encounter photographs and derived data. The combined capabilities have demonstrated ...