基于傅立叶变换的掌纹识别方法(英文)

Palmprint Recognition Based on Fourier Transform

掌纹识别是指由计算机自动识别哪些掌纹图像来自同一只手掌,哪些来自不同的手掌.在掌纹识别中,特征提取算法的优劣至关重要.提出了一种基于傅立叶变换的掌纹特征提取方法.该方法的基本思想是先将掌纹图像应用傅立叶变换转换到频域,然后在频域中进行特征提取和描述.提取出来的特征备用来索引掌纹数据库,以便当一个新的掌纹图像被输入时,可以很快确定该手掌是否已经在掌纹库中注册.该方法可以用来做基于人体生物特征的身份识别,在安全领域有广泛的应用前景.

Palmprint recognition aims at finding out the palmprint template from the database, which is from the same palm as a given palmprint input. Feature extraction plays an important role in the recognition process. In this paper, we propose a new feature extraction method by converting a spatial domain palmprint image into a frequency domain image using Fourier Transform (FT) and representing palmprint features in the frequency domain. The extracted features are used as indexes to the palmprint templates in the database and the searching for the best match is leaded by these features in a layered fashion. The experimental result shows that the proposed FT based feature extraction method is effective in terms of accuracy and efficiency on our palmprint database.