Author

G. Sánchez-Pérez

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Open access Jul 2026

Optimizing 1001-Class Handwritten Digit Sequence Recognition for the Mexican Electoral Process Using Asymmetric ResNet-18 and CBAM

A specialized Handwritten Digit Sequence Recognition (HDSR) framework for the Mexican Preliminary Election Results Program (PREP) based on a modified ResNet-18 architecture is proposed, introducing an asymmetric stride designed explicitly to preserve the 1:3 horizontal feature resolution of electoral tally sheets.

Miguel Ángel Camargo-Rojas, G. Sánchez-Pérez, J. Portillo-Portillo et al. · Applied Informatics · 0 citations