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Verilog Based ANN For Handwritten Character Recognition-1 by jmurali558 is a document available to read on EtoBox.

What is Verilog Based ANN For Handwritten Character Recognition-1 about?

The document presents a project on Handwritten Character Recognition (HCR) using a Verilog-based Artificial Neural Network (ANN) implemented on an FPGA. It addresses the limitations of current software-based HCR systems, such as high computational resource requirements and latency, by proposing a hardware solution that offers low power consumption and real-time performance. The project aims to create a reliable HCR system suitable for embedded and standalone devices without the need for an operating system.

Author

jmurali558

Language

EN