搜索资源列表
earpattern
- M-program for Ear Pattern Recognition
bala
- Previous works have shown that the ear is a promising candidate for biometric identification. However, in prior work, the preprocessing of ear images has had manual steps and algorithms have not necessarily handled problems caused by hair and ear
rener_xitong_GUI3_1
- 基于PCA+LDA的人耳识别算法，并用GUI设计用户窗口-PCA+LDA recognition algorithm based on the human ear, and the design of the user with a GUI window
P1_1-s2.0-S016786551400316X-main
- An Adaptive Bimodal Recognition Framework using Sparse Coding for Face and Ear
PCA_ear
- 将PCA用于人耳识别，附有源代码、训练库、测试库、识别结果与提取的特征图，识别率百分之九十。-PCA is used to identify the human ear, with source code, training, library, test libraries, recognition results and extracted feature map, the recognition rate 90 percent.
mfcc
- 语音识别MFCC特征提取matlab代码。 「梅尔倒频谱系数」（Mel-scale Frequency Cepstral Coefficients，简称MFCC），是最常用到的语音特征，此参数考虑到人耳对不同频率的感受程度，因此特别适合用在语音辨识。-Speech recognition MFCC feature extraction matlab code. \ Mel cepstrum coefficient (Mel- scale Frequency Cepstral Coefficien
mfcc
- MFCC，Mel频率倒谱系数的缩写。Mel频率是基于人耳听觉特性提出来的，它与Hz频率成非线性对应关系。Mel频率倒谱系数(MFCC)则是利用它们之间的这种关系，计算得到的Hz频谱特征，MFCC已经广泛地应用在语音识别领域。(MFCC, Mel frequency cepstrum coefficient abbreviation. The frequency of Mel is based on the auditory characteristics of human ear. It is