Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition – A Comparative Study

International Journal of Image Processing

Mita Nasipuri¹  Debotosh Bhattacharjee¹  Mahantapas Kundu¹  Dipak Kumar Basu¹  Mrinal Kanti Bhowmik¹ 

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关键词: Thermal image;    Daubechies Wavelet Transform;    Haar Wavelet Transform;    Fusion;    Principal Component Analysis (PCA);    Multi-layer Perceptron and Face Recognition;   

DOI  :  

来源: Computer Science Journals

【 摘 要 】

In this paper we present a comparative study on fusion of visual and thermal images using different wavelet transformations. Here, coefficients of discrete wavelet transforms from both visual and thermal images are computed separately and combined. Next, inverse discrete wavelet transformation is taken in order to obtain fused face image. Both Haar and Daubechies (db2) wavelet transforms have been used to compare recognition results. For experiments IRIS Thermal/Visual Face Database was used. Experimental results using Haar and Daubechies wavelets show that the performance of the approach presented here achieves maximum success rate of 100% in many cases.

【 授权许可】

Unknown