KeyLemon Blog

New KeyLemonFaceSDK : Easier testing and C# capture wrapper

KeyLemon launches its new KeyLemonFaceSDK Easy and fast SDK performance evaluation The biometry testing has become easier. No more compilation or development tool needed!

The features “adapt my face model” does not work…

UPDATE : a new model management has been introduced since the 2.5 version of KeyLemon in order to correct the problem described in this article. The new model management creates multiple models for each lighting environment. In this Blog Post we would like to explain you how the “adapt my face model” features works or how to use it correctly. The “adapt my face model” feature permits to be recognized under different environmental conditions. It becomes very useful when you are using KeyLemon in different lighting conditions. Let’s imagine you are ...

Features and Classifiers

In this new post, I will introduce 2 concepts that are key elements in all face processing algorithms: features and classifiers. Let's start with some definitions: Features "In pattern recognition, features are the individual measurable heuristic properties of the phenomena being observed. Choosing discriminating and independent features is key to any pattern recognition algorithm being successful in classification. Features are usually numeric, but structural features such as strings and graphs are used in syntactic pattern recognition." (Wikipedia) Classifiers "A classifier is a sort of a function that provides a tagged class as an ...