深層学習を活用したハイブリッドシステムによる印鑑画像内の文字の高精度認識
Keke Zhang1, Mingyu Guan2, Chao Wu3
1College of Artificial Intelligence and Big Data, Chongqing Polytechnic University of Electronic Technology, Chongqing, China.
Frontiers in big data
|January 30, 2026
まとめ
本研究では、背景ノイズや微細な特徴といった課題を克服する、中国の印鑑文字認識のためのハイブリッドモデルを提案します。この新しいアプローチは、中国の印鑑文字認識の精度を大幅に向上させます。
科学分野:
- コンピュータビジョン
- 光学文字認識（OCR）
- 人工知能
背景:
- 中国の印鑑は、中国における法的文書の認証に不可欠です。
- 印鑑の文字認識は、背景の文字、ノイズ、微細な特徴のために困難です。
研究 の 目的:
- 正確な中国の印鑑文字認識のためのハイブリッドモデルを開発すること。
- ノイズが多く複雑な印鑑画像によってもたらされる課題に対処すること。
主な方法:
- 前処理、位置補正のための深層学習、円形文字展開、OCRを統合したハイブリッドモデル。
- 色ベースの背景除去、新しい画像ノイズ除去、合成データセットを用いた深層学習ベースの角度予測、文字展開のための極座標変換。
主要な成果:
- 提案手法は、中国の印鑑文字認識の精度を効果的に向上させます。
- ハイブリッドモデルは、ノイズや複雑な背景に対する堅牢性を向上させます。
結論:
- 開発されたハイブリッドモデルは、中国の印鑑文字認識のための堅牢なソリューションを提供します。
- 高度な前処理と深層学習技術の統合により、認識性能が大幅に向上します。
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