Advanced Computing and Systems for Security: Volume 2 by Rituparna Chaki, Agostino Cortesi, Khalid Saeed, Nabendu

By Rituparna Chaki, Agostino Cortesi, Khalid Saeed, Nabendu Chaki

The booklet comprises the prolonged model of the works which were awarded and mentioned within the moment foreign Doctoral Symposium on utilized Computation and safety platforms (ACSS 2015) held in the course of may possibly 23-25, 2015 in Kolkata, India. The symposium has been together geared up by way of the AGH college of technological know-how & expertise, Cracow, Poland; Ca’ Foscari collage, Venice, Italy and collage of Calcutta, India. The booklet is split into volumes and offers dissertation works within the parts of photograph Processing, Biometrics-based Authentication, gentle Computing, info Mining, subsequent new release Networking and community protection, distant Healthcare, Communications, Embedded platforms, software program Engineering and repair Engineering.

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Additional info for Advanced Computing and Systems for Security: Volume 2

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WDCC with 18 coefficients provided acceptable accuracy with lowest RTF. • The testing environment such as air conditioners in office, system processor sound and group talking environment varies the performance of MSAC. From the above study the author recommended the WDCC feature extraction techniques are robust and dynamic as compare to MFCC, LPC, Rasta, LDA, and PCA. References 1. A review on speech recognition technique. Int. J. Comput. Appl. 10(3), 0975–8887 (2010) 2. : Large vocabulary speech recognition 35(4):42–50 (2002) 3.

J. Med. Inf. Technol. 23/2014 (2014). ISSN 1642-6037 15. : An approach for micro-tomography obtained medical image segmentation. , et al. ) Applied Computation and Security Systems, Advances in Intelligent Systems and Computing, vol. 304 (2015) An Approach for Automatic Indic Script Identification from Handwritten Document Images Sk. Md. Obaidullah, Chayan Halder, Nibaran Das and Kaushik Roy Abstract Script identification from document images has received considerable attention from the researchers since couple of years.

4 Statistical Region Merging (SRM) and Multilevel Thresholding In region merging-based method, regions are described as sets of pixels with homogeneous properties and they are iteratively grown by combining smaller regions. Pixels are elementary regions. Statistical test is performed to decide if merge tested regions. Detailed description is available in original SRM paper [7]. Multilevel thresholding modify Otsu method allowing to get more than two pixel classes by choosing the optimal thresholds by maximizing a modified between-class variance.

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