Ridgelet

Ridgelet is suitable for representing line singularities in objects, so it's rarely found in practical applications [4].

Nikam and Agarwal detected the fingerprint liveness based on ridgelet transform to extract texture features using only single fingerprint image [13].

The various transforms are discrete cosine transform (DCT), discrete wavelet transform (DWT), Hadamard transform, dual-tree DWT, double density dual-tree DWT (DD DT DWT), ridgelet transform, curvelet transform, and so on.

Roopkumar, "Ridgelet transform for quarternion-valued functions," International Journal of Wavelets, Multiresolution and Information Processing, vol.

"Reconstruction of ridgelet coefficients using total variation minimization", ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications, pp: 2411-2414.

Three types of metaheuristic algorithms called firefly algorithm, bat algorithm and cuckoo search algorithm were compared to find optimal solutions and series of computational experiments using each algorithm were conducted and after the analyzation it is observed that firefly algorithm seems to perform better than bat algorithm and cuckoo search.[5]A comparative study of different window functions such as Hanning, Hamming, Blackman, Cosh, kaiser and Exponential windows and other transforms such as discrete Fourier transform (DFT), discrete cosine transform (DCT), discrete wavelet transform (DWT), Ridgelet transform (RT) has been made[6][7].

In future work, the dictionary can be designed based on Ridgelet transform for measuring the coefficients of sparse representation and will compare the performance among these dictionaries.

Many new MGA tools have been proposed such as ridgelet, curvelet, bandlet, and contourlet, which provide higher directional sensitivity than wavelets.