A DFT-Based Method of Feature Extraction for Palmprint Recognition
-
- Choge H. Kipsang
- Department of Information Science & Intelligent Systems, The University of Tokushima
-
- Karungaru Stephen G.
- Department of Information Science & Intelligent Systems, The University of Tokushima
-
- Tsuge Satoru
- Department of Information Science & Intelligent Systems, The University of Tokushima
-
- Fukumi Minoru
- Department of Information Science & Intelligent Systems, The University of Tokushima
この論文をさがす
説明
Over the last quarter century, research in biometric systems has developed at a breathtaking pace and what started with the focus on the fingerprint has now expanded to include face, voice, iris, and behavioral characteristics such as gait. Palmprint is one of the most recent additions, and is currently the subject of great research interest due to its inherent uniqueness, stability, user-friendliness and ease of acquisition. This paper describes an effective and procedurally simple method of palmprint feature extraction specifically for palmprint recognition, although verification experiments are also conducted. This method takes advantage of the correspondences that exist between prominent palmprint features or objects in the spatial domain with those in the frequency or Fourier domain. Multi-dimensional feature vectors are formed by extracting a GA-optimized set of points from the 2-D Fourier spectrum of the palmprint images. The feature vectors are then used for palmprint recognition, before and after dimensionality reduction via the Karhunen-Loeve Transform (KLT). Experiments performed using palmprint images from the ‘PolyU Palmprint Database’ indicate that using a compact set of DFT coefficients, combined with KLT and data preprocessing, produces a recognition accuracy of more than 98% and can provide a fast and effective technique for personal identification.
収録刊行物
-
- 電気学会論文誌C(電子・情報・システム部門誌)
-
電気学会論文誌C(電子・情報・システム部門誌) 129 (7), 1296-1304, 2009
一般社団法人 電気学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390282679581288320
-
- NII論文ID
- 10025101248
-
- NII書誌ID
- AN10065950
-
- ISSN
- 13488155
- 03854221
-
- NDL書誌ID
- 10357320
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- NDLサーチ
- Crossref
- CiNii Articles
- OpenAIRE
-
- 抄録ライセンスフラグ
- 使用不可