Next Article in Journal
Cross-Selectivity Enhancement of Poly(vinylidene fluoride-hexafluoropropylene)-Based Sensor Arrays for Detecting Acetone and Ethanol
Next Article in Special Issue
An Electricity Price-Aware Open-Source Smart Socket for the Internet of Energy
Previous Article in Journal
Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils
Previous Article in Special Issue
An Alternative Wearable Tracking System Based on a Low-Power Wide-Area Network
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle

Deciphering Egyptian Hieroglyphs: Towards a New Strategy for Navigation in Museums

1 Ingeniería de Software y Sistemas Informáticos, ETSI Informática, UNED. C/Juan del Rosal, 16, 28040 Madrid, Spain
School of Energy, Geoscience, Infrastructure and Society, Heriott-Watt University, Edinburgh EH14 4AS, UK
Authors to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Sensors 2017, 17(3), 589;
Received: 16 January 2017 / Revised: 10 March 2017 / Accepted: 10 March 2017 / Published: 14 March 2017
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2016)
PDF [53622 KB, uploaded 14 March 2017]


This work presents a novel strategy to decipher fragments of Egyptian cartouches identifying the hieroglyphs of which they are composed. A cartouche is a drawing, usually inside an oval, that encloses a group of hieroglyphs representing the name of a monarch. Aiming to identify these drawings, the proposed method is based on several techniques frequently used in computer vision and consists of three main stages: first, a picture of the cartouche is taken as input and its contour is localized. In the second stage, each hieroglyph is individually extracted and identified. Finally, the cartouche is interpreted: the sequence of the hieroglyphs is established according to a previously generated benchmark. This sequence corresponds to the name of the king. Although this method was initially conceived to deal with both high and low relief writing in stone, it can be also applied to painted hieroglyphs. This approach is not affected by variable lighting conditions, or the intensity and the completeness of the objects. This proposal has been tested on images obtained from the Abydos King List and other Egyptian monuments and archaeological excavations. The promising results give new possibilities to recognize hieroglyphs, opening a new way to decipher longer texts and inscriptions, being particularly useful in museums and Egyptian environments. Additionally, devices used for acquiring visual information from cartouches (i.e., smartphones), can be part of a navigation system for museums where users are located in indoor environments by means of the combination of WiFi Positioning Systems (WPS) and depth cameras, as unveiled at the end of the document. View Full-Text
Keywords: Egyptian hieroglyphs; edge detection; region identification; object recognition Egyptian hieroglyphs; edge detection; region identification; object recognition

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Duque-Domingo, J.; Herrera, P.J.; Valero, E.; Cerrada, C. Deciphering Egyptian Hieroglyphs: Towards a New Strategy for Navigation in Museums. Sensors 2017, 17, 589.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top