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The booklet includes the prolonged model of the works which were awarded and mentioned within the moment overseas Doctoral Symposium on utilized Computation and defense structures (ACSS 2015) held in the course of may well 23-25, 2015 in Kolkata, India. The symposium has been together prepared through the AGH college of technology & expertise, Cracow, Poland; Ca’ Foscari college, Venice, Italy and college of Calcutta, India. The e-book is split into volumes and offers dissertation works within the parts of picture Processing, Biometrics-based Authentication, delicate Computing, information Mining, subsequent new release Networking and community safeguard, distant Healthcare, Communications, Embedded structures, software program Engineering and repair Engineering.
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Extra info for Advanced Computing and Systems for Security: Volume 2
15] and Siddiqi and Vincent , etc. Jain and Doermann proposed multi script writer identiﬁcation on English, Greek, and Arabic languages . In , Ghiasi and Safabakhsh presented text-independent writer identiﬁcation using codebook on English and Farsi handwriting database. Some writer identiﬁcation works can be found in [19, 20]. Djeddi et al. in  have proposed writer identiﬁcation on multiple languages like English and Greek using ICFHR 2012 Latin/Greek database. Recently, Halder et al.
5). Md. Obaidullah et al. Fig. 5 Sample line-level document images from our prepared dataset. 2 Experimental Protocol The training phase of any classiﬁcation technique initiates the learning process of distinguishable properties for each of the target script class. During the test phase the dissimilarity measure of the script classes are evaluated. Generation of training and test set data is very crucial decision for any classiﬁcation scheme. , 1:1 ratio. Following section describes about the outcome of the test phase.
Int. J. Innovative Res. Adv. Eng. (IJIRAE) 1(10) (2014). ISSN: 2349-2163 19. : Speech recognition and veriﬁcation using MFCC & VQ. Int. J. Emerg. Sci. Eng. (IJESE) 1(7) (2013). ISSN: 2319–6378 20. : Speech feature analysis using variational bayesian PCA. IEEE Signal Process. Lett. 10, 137–140 (2003) 21. : Novel Approach Based Feature Extraction For Marathi Continuous Speech Recognition, pp. 795–804. ACM Digital Library, New York (2012). ISBN: 978-1-4503-1196-0/2012 22. : RASTA processing of speech.