提出了一种新的拉曼光谱谱峰判别算法，采用Voigt函数作为拟合函数，对小波变换脊线寻峰后得到的谱峰进行拟合处理，将拟合前后的谱峰相似度作为判别谱峰的依据，可有效识别与噪声幅值相近的小幅值拉曼信号。通过与已有的两种谱峰判别方法进行对比，在误判率为5%的情况下，该算法准确率提高了60%；在准确率高于90%的情况下，该算法误判率降低了10%。

A new discrimination algorithm of Raman spectral peaks is proposed. With Voigt function as the fitting function, the spectral peaks obtained after the ridge peak detection based on the wavelet transformation are fitted. The similarity of spectral peaks before and after fitting is taken as the basis for discrimination of spectral peaks. The Raman signal with amplitude comparable to that of noise is effectively discriminated. Compared with those of the existing two discrimination methods of spectral peaks, the true positive rate of the proposed method improves by 60% when the false data rate is 5% and the false data rate of the proposed method decreases by 10% when the true positive rate is higher than 90%.