The limitations of traditional pen-and-paper assessments have prompted scientists to turn to digital solutions. The study ...

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Citation: Vallejo-Mancero B, Madrenas J and Zapata M (2024) Real-time execution of SNN models with synaptic plasticity for handwritten digit recognition on SIMD hardware.

Abstract This project involves the classification of handwritten digits using three different classifiers: Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and Decision Trees. The ...

Handwritten digits are characterized by large variations so template matching, in general, is not very efficient. In this paper we describe an algorithm for handwritten digit recognition based on ...

Higher level of image processing usually contains some kind of recognition. Digit recognition is common in applications and handwritten digit recognition is an important subfield. Handwritten digits ...

We demonstrate this idea computationally using competitive learning networks for recognizing handwritten digits. Animations of the learning process show how training the network with patterns from an ...