A practical aspect of identification and classifying of Guns based on gunshot wound patterns using gene expression programming

Author:

Savakar D. G.,Kannur A.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Reference20 articles.

1. D. G. Savakar and A. Kannur, “A genetic algorithm and Bayesian approach for identification and classification of weapon based on the stab wound patterns caused by different sharp metal,” Int. J. Comput. Eng. Appl. 9 1, 1–12 (2015)

2. D. G. Savakar and A. Ghuli, “Digital watermarking as distributed noise by discrete wavelet transformation, fast Fourier transformation and fast Walsh-Hadamard transform to study the sensitivity between robustness and fidelity,” Int. J. Comput. Appl. 1 5, 102–107 (2015).

3. D. G. Savakar and A. Ghuli, “Digital watermarking–a combined approach by DWT, Chirp-Z and fast WalshHadamard transform,” Int. J. Comput. Technol. Appl. 5 6, 2006–2010 (2014).

4. Song Bo, “Automated wound identification system based on image segmentation and artificial neural networks,” in Proc. IEEE Int. Conf. on Bioinformatics and Biomedicine (TBD Philadelphia, PA, 2012), pp. 11–16.

5. L. Gitto, A. Vullo, and G. M. Demari, “Identification of the murder weapon by the analysis of a typical pattern of sharp force injury,” Italian J. Legal Med. 1 1, 4–14 (2012)

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