SHORE™ - Object and Face Recognition

Fraunhofer Institute for Integrated Circuits IIS

JW Player

SHORE™ - Sophisticated High-speed Object Recognition Engine

SHORE™ is the result of years of research and development activities, which culminated in a highly-optimized software library. This solution enables the detection of objects and faces, as well as extremely fine facial analysis.

The foundation of the versatile SHORE™ solution lies in our extensive experience with detection and analysis technologies and a large database for machine learning. The technology is "trained" by accessing a database of more than 10,000 annotated faces. In combination with the structure-based features and learning algorithms, we can train so-called models that boast extremely high recognition rates:


Feature Performance Reference
Frontal facial recognition 91.5 percent detection rate with a 1 in 10 miss rate CMU+MIT database
Gender detection
94.3 percent detection rate BioID database
Age estimation
6.85 mean deviation in years 
FG-NET database


Optimizing process-intensive components using a variety of algorithmic and hardware-specific approaches makes it possible to process images in real-time. The following table shows the processing speed for various configurations ( Intel Core 2 Duo 6420 using 1 core, BioID database, 384 x 286 pixels).


Activated Features Config. 1 Config. 2 Config. 3 Config. 4
Facial recognition
Fine eye search
Gender detection
Analysis of four facial expressions      
Time per image [ms]   9.4  19.3  19.9  22.0
Images per second [fps]  107.5  51.8 50.3 45.5

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