By Rituparna Chaki, Agostino Cortesi, Khalid Saeed, Nabendu Chaki
The e-book includes the prolonged model of the works which were offered and mentioned within the moment overseas Doctoral Symposium on utilized Computation and defense structures (ACSS 2015) held in the course of might 23-25, 2015 in Kolkata, India. The symposium has been together prepared through the AGH collage 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 photograph Processing, Biometrics-based Authentication, smooth Computing, information Mining, subsequent iteration Networking and community protection, distant Healthcare, Communications, Embedded structures, software program Engineering and repair Engineering.
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Additional resources for Advanced Computing and Systems for Security: Volume 2
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. IEEE Trans. Speech Audio Process. 2, 578–589 (1994). 326616 23. : DWT features performance analysis for automatic speech recognition of Urdu. 1186/ 2193-1801-3-204 24. : Debauchee’s wavelet analysis of speech signal of different speakers for similar speech set.
Scripts contains ‘matra,’ which is a collection of continuous pixel at the top portion of each word or line. Whereas Urdu, Roman, etc. scripts are example of non-‘matra’-based scripts. Now if ration of the pixel density is computed for these two cases then there will be a signiﬁcant difference between these two categories. Figure 3 shows example of DFD obtained from each script images. (a) Sample word of original script, (b) DFD of the upper part of the contour, (c) DFD of the lower part of the contour.
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. In this paper, an approach for HSI (Handwritten Script Identiﬁcation) from document images written by any one of the eight Indic scripts is proposed. A dataset of 782 Line-level handwritten document images are collected with almost equal distribution of each script type. 51 %, respectively. Á Keywords Document image analysis Handwritten script identiﬁcation Multi-classiﬁer Document fractal dimension Directional morphological kernel Interpolation Á Á Á Á 1 Introduction One of the important area of research under document image processing is optical character recognition or in short OCR.