Ancient book age distinguishing method and device based on hyperspectral data

Through the ancient book era distinction method based on hyperspectral data, hyperspectral data of ancient books is collected and preprocessed, and the trained age distinction model is used to distinguish the age, which solves the damage problems that may be caused by the age distinction of ancient books in the existing technology, and achieves efficient and accurate age distinction.

CN119672740APending Publication Date: 2025-03-21HUBEI LUOJIA LAB
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Patent Information

Application Number
CN202411619347.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-13
Publication Date
2025-03-21

AI Technical Summary

Technical Problem

The existing methods of distinguishing the age of ancient books will cause unnecessary damage to ancient books, and it is difficult to achieve effective age distinction without damaging the ancient books.

Method used

The ancient book age distinction method based on hyperspectral data is adopted, and paper hyperspectral data of ancient books is collected through handheld hyperspectral acquisition equipment, and the data is pre-processed, including eliminating extreme values, eliminating errors and principal component analysis. Finally, the ancient book age distinction model obtained by sample ancient book training with real age labels is used to distinguish the age.

Benefits of technology

It realizes the age distinction without damaging ancient books, improves the accuracy and efficiency of age distinction, and avoids unnecessary damage to ancient books.

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Abstract

The invention relates to an ancient book age distinguishing method and device based on hyperspectral data, and belongs to the technical field of image recognized.The ancient book age distinguishing method based on the hyperspectral data comprises the steps that paper hyperspectral data corresponding to a target ancient book collected by handheld hyperspectral collection equipment is obtained, preprocessing the paper hyperspectral data corresponding to the target ancient book; the preprocessed paper hyperspectral data corresponding to the target ancient book are input into an ancient book age distinguishing model, the age of the target ancient book is determined based on output of the ancient book age distinguishing model, and the ancient book age distinguishing model is obtained based on training of a sample ancient book carrying a real age label. Unnecessary damage to the ancient books is avoided while age distinguishing of the ancient books is achieved.
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