Over a million developers have joined DZone.

Face Recognition in Java @ JavaOne 2012

DZone's Guide to

Face Recognition in Java @ JavaOne 2012

· Java Zone ·
Free Resource

Verify, standardize, and correct the Big 4 + more– name, email, phone and global addresses – try our Data Quality APIs now at Melissa Developer Portal!

Have you ever wondered how to do face recognition in Java? Furthermore, how would you do music classification in Java? And what about poker hand prediction or the controling of a shuttle landing? Well, you have everything you need for this on the NetBeans Platform out of the box via the Neuroph project, which has published about 30 sample projects for Neuroph Studio using datasets from the UCI Machine Learning Repository.
Neuroph Studio is a NetBeans Platform application that provides a rich GUI for working with the neural network framework  Neuroph. Projects include classification, prediction, recognition, and control problems, and each comes with step by step instructions.
All the sample projects were created by students as a working assignment during a course on Intelligent Systems at the University of Belgrade in Serbia.
Above is an image of Neuroph Studio. Check out the tutorials and join us at the upcoming Neuroph session at JavaOne 2012:

Developers! Quickly and easily gain access to the tools and information you need! Explore, test and combine our data quality APIs at Melissa Developer Portal – home to tools that save time and boost revenue. Our APIs verify, standardize, and correct the Big 4 + more – name, email, phone and global addresses – to ensure accurate delivery, prevent blacklisting and identify risks in real-time.


Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}