Topology-Based Character Recognition Method for Coin Date Detection

Xingyu Pan 1 Laure Tougne 1
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : For recognizing coins, the graved release date is important information to identify precisely its monetary type. However, reading characters in coins meets much more obstacles than traditional character recognition tasks in the other fields, such as reading scanned documents or license plates. To address this challenging issue in a numismatic context, we propose a training-free approach dedicated to detection and recognition of the release date of the coin. In the first step, the date zone is detected by comparing histogram features; in the second step, a topology-based algorithm is introduced to recognize coin numbers with various font types represented by binary gradient map. Our method obtained a recognition rate of 92% on synthetic data and of 44% on real noised data.
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https://hal.archives-ouvertes.fr/hal-01371496
Contributor : Xingyu Pan <>
Submitted on : Monday, September 26, 2016 - 10:12:46 AM
Last modification on : Tuesday, November 19, 2019 - 2:41:20 AM

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  • HAL Id : hal-01371496, version 1

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Xingyu Pan, Laure Tougne. Topology-Based Character Recognition Method for Coin Date Detection. 18th International Conference on Image Analysis and Processing, Oct 2016, Paris, France. ⟨hal-01371496⟩

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