Informatics Publishing Limited

M. Madhavi ¹, B. Vijay Kumar ², V. S. Giridhar Akula ³

Affiliations
1 Avanthi’s Scientific Technological and Research Academy, Hyderabad, IN
2 Vagdevi College of Engineering, Warangal, IN
3 Avanthis Scientific Technological and Research Academy, Hyderabad, IN

Abstract

In this paper, we propose an efficient usage of an available conventional encryption algorithm IDEA for encrypting plain text of fixed length into plaintext of same length usually called as Cipher by using a plain text of fixed length called Main key. IDEA algorithm which is a symmetric block cipher accepts 64 bit digital data as input and encrypts the same into a cipher of same 64 bit digital data. Aside from the basic characteristics of IDEA, i.e. the input of 64 bit digital data and 128 bit key, our proposed work accepts a plain text of 80 characters as input and encrypts the same into another text of 80 characters using 16 text characters as main key. Furthermore, we demonstrated the results of implementation of IDEA structure on to a Field Programmable Gated Array with various performance parameters.

Keywords

Idea, Textual Encryption, Data Security, FPGA, VHDL, Architecture.

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V. S. Giridhar Akula ¹, D. Sreenivasa Rao ², S. Sravanthi ²

Affiliations
1 Avanthi's Scientific Technological and Research Academy, IN
2 ASRA, Hyderabad, IN

Abstract

Optical character recognition (OCR) refers to a process whereby printed documents are transformed into ASCII files for the purpose of compact storage, editing, fast retrieval, and other file manipulations through the use of a computer. The principle motivation for the development of OCR Systems is the need to cope with the enormous flood of paper in the form of documents, bank cheques, commercial forms, government records, credit card imprints and mail sorting, generated by expanding technological society.
A method has been developed for single font clear printed documents. This system is primarily designed for Telugu and used the Uniform Sampling Method as the basis for extraction of low-level, structural and stroke-type features and also used the nearest neighbor classifier for classification. The accuracy rate was 96%. The Objective of the current project is to improve the accuracy using different types of hybrid classifiers. This algorithm used segmentation process to isolate words. In this process the process of clipping has been applied to by deleting al zero rows and columns of the image matrix. K-means clusting algorithm is used to determine cluster k and centroids.

Keywords

Nearest Neighbor, K Means Algorithm, Centroids, Filters, Mmse, Skewing, Clipping, Training Patterns, Feature Extraction, Veronoi Diagram, Uniform Sampling.

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V. S. Giridhar Akula ¹, P. Chandra Sekhar Reddy ², N. Kalpa Latha ³, R. Sivam ⁴

Affiliations
1 Hasvita Institute of Engineering and Technology, Hyderabad, IN
2 Jawaharlal Nehru Technological University, Hyderabad, IN
3 Sri Padmavati College, Tirupathi, IN
4 Narasaropet Engineering College, Narasarao Pet, IN

Abstract

This paper focuses on the security of data hiding principles based on nested lattices. Security key is used in the embedding process to provide security for different watermarked signals. Lattice partitioning is the concept adopted for data hiding. Self similar lattice construction is used to construct nested lattice codes.

Keywords

Cryptanalysis, Ditcher, Embedding and Decoding, Lattice Partitioning, Watermarking Security.

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