Acceleration of Urdu Optical Character Recognition on Zynq UltraScale+ MPSoC Using Deep Convolutional Neural Network

Acceleration of Urdu Optical Character Recognition on Zynq UltraScale+ MPSoC Using Deep Convolutional Neural Network

Deploying deep learning–based optical character recognition (OCR) systems for low-resource, complex-script languages like Urdu remains a major challenge due to high computational costs, lack of annotated datasets, and limited hardware support for real-time applications. Existing FPGA-base...

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Bibliographic Details
Main Authors: Fauzia Yasir, Majida Kazmi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Computer vision
convolution neural network
edge computing
FPGA
low power
energy efficiency
Online Access:https://ieeexplore.ieee.org/document/11098840/
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https://ieeexplore.ieee.org/document/11098840/

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