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Chakraborty 2021 by Trung Thành Lê is a document available to read on EtoBox.

This document presents a method for recognizing handwritten digit strings using a deep autoencoder for segmentation and a Residual Network (ResNet) for recognition. The proposed approach addresses challenges in segmenting touching digits and achieves competitive results on the Computer Vision Lab Handwritten Digit Strings database. The methodology includes a detailed segmentation process, post-processing techniques, and the use of a CNN-based ResNet for accurate digit recognition.

Author
Trung Thành Lê
Language
EN