This paper brings a contribution to the problem of efficiently recognizing handwritten words from a limited size lexicon. For that, a multiple classifier system has been developed...
Abstract— We present a spike-based saccadic recognition system that uses a temporal-derivative silicon retina on a pan-tilt unit and an aVLSI multi-neuron classifier with a time...
Matthias Oster, Patrick Lichtsteiner, Tobi Delbr&u...
Abstract. In this paper an object learning system for image understanding is proposed. The knowledge acquisition system is designed as a supervised learning task, which emphasises ...
The Continuous Distance Transformation (CDT) used in conjunction with a k-NN classifier has been shown to provide good results in the task of handwriting recognition [1]. Unfortun...
For offline handwritten Chinese character recognition, stroke variation is the most difficult problem to be solved. A new method of optimal sampling features is proposed to compens...