Handwritten Digits Recognition Based on a Parallel Optoelectronic Time-Delay Reservoir Computing System

Handwritten Digits Recognition

Optoelectronic Reservoir Computing

Reservoir computing is a recently introduced, highly efficient bio-inspired approach for processing time dependent data. The basic scheme of reservoir computing consists of a non linear recurrent dynamical system coupled to a single input layer and a single output layer. Within these constraints many implementations are possible. Here we report an optoelectronic implementation of reservoir comp...

Parallel Optoelectronic Computing System 2.parallel Optoelectronic Computing System with Reconngurable Optical Interconnection

It is expected that high performance parallel computing systems can be realized by using ne grain electronic PE arrays and two-dimensional optical devices such as surface emitting laser diode arrays and photo detector arrays. Although processing architectures for utilizing such devices are intrinsically based on massively parallel processing with parallel optical input and output, the interconn...

Handwritten digits recognition using OpenCV

The automated recognition of handwritten digits is a largely studied problem which connects the fields of Computer Vision and Machine Learning and has many applications in real life. In this project, I detail an introductory investigation of the performance of classification in several contexts. Namely, relying on the OpenCV implementations of k-Nearest Neighbor, Random Forests, and Support Vec...

Handwritten Digits Segmentation Based on Structural Approach

This article deals with a new segmentation approach applied to unconstrained handwritten digits. The novelty of the proposed algorithm is based on the combination of two types of structural features in order to provide the best segmentation path between connected entities. This method was developed to be applied in a segmentation-based recognition system. In this article, we first present the f...