The paper presents an approach to encrypt the color images using bit-level permutation and alternate logistic map. The proposed method initially segregates the color image into red, green, and blue channels, transposes the segregated channels from the pixel-plane to bit-plane, and scrambles the bit-plane matrix using Arnold cat map (ACM). Finally, the red, blue, and green channels of the scrambled image are confused and diffused by applying alternate logistic map that uses a four-dimensional Lorenz system to generate a pseudorandom number sequence for the three channels. The parameters of ACM are generated with the help of Logistic-Sine map and Logistic-Tent map. The intensity values of scrambled pixels are altered by Tent-Sine map. One-dimensional and two-dimensional logistic maps are used for alternate logistic map implementation. The performance and security parameters histogram, correlation distribution, correlation coefficient, entropy, number of pixel change rate, and unified averaged changed intensity are computed to show the potential of the proposed encryption technique.
The ultimate goal of research on Speech to Text system is to build machines that are indistinguishable from humans in the ability to communicate in natural spoken language. This paper discusses the implementation of a connected word Speech to Textsystem (STT) for the Punjabi language.Hidden Markov model toolkit (HTK)has been used to develop the system. A Java platform based Graphical User Interface (GUI) has been developed to make the system fast and user friendly.The implemented system performs well with Word Recognition Rate (WR) 95.8% and 95.4%, Word Accuracy Rate (WA) 94.1% and 91.6% and Word Error Rate (WER) 5.9% and 8.35% in class room and open environment respectively.
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