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About Deep Learning The Indus Script (Satish Palaniappan & Ronojoy Adhikari, 2017)
This document describes a deep learning pipeline to automatically extract graphemes from images of artifacts containing the undeciphered Indus script. The pipeline uses convolutional neural networks to first identify regions of images containing textual information and then segment and classify individual graphemes. It is able to identify the most common Indus grapheme, the "jar sign", with 92% accuracy. The pipeline demonstrates the potential for deep learning to help compile standardized corpora from raw archaeological records and facilitate computational epigraphy research.
Detailed Information
| Author: | ['Srini Kalyanaraman'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 19 |
| Language: | English |
| Format: | |
| Price: | FREE |
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