http://localhost:8080/xmlui/handle/123456789/3793 Mon, 12 Oct 2026 10:48:10 GMT 2026-10-12T10:48:10Z http://localhost:8080/xmlui/handle/123456789/3795 Title: Combining Multiple Feature Extraction and Classification Methods to Study Performance of Handwritten Sanskrit Character Recognition Authors: Shelke, Shraddha V; Chandwadkar, D.M.; Ugale, S. P. Abstract: The recognition of Sanskrit handwriting has been found to be one of the most challenging research topics. The Sanskrit language is written using the Devanagari Script. In this paper, we implemented novel algorithm to recognize handwritten characters using four different feature extraction methods, resizing the image, Canny Edge detection, Hybrid Discrete Wavelet-Discrete Cosine Transform (DWT-DCT), Histogram of oriented Gradients (HOG). Classification is done by using support vector machine with cubic kenrel and neural network with ReLU activation function. When features are extracted by HOG, the SVM provides classification accuracy of 97.10% while the neural network provides 91.40%. SVM has been found to provide superior classification than neural networks for all feature extraction strategies. Fri, 18 Aug 2023 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/3795 2023-08-18T00:00:00Z http://localhost:8080/xmlui/handle/123456789/3794 Title: A Combined Cryptography and Error Correction System based on Enhanced AES and LDPC Authors: Chothe, R.V.; Ugale, S.P.; Chandwadkar, D.M.; Shelke, S.V. Abstract: Any military organization nowadays depend on networks and communications. Sensitive data that is essential to national security relies on these networks and applications. As a result, the need to safeguard and protect this data arises. An authenticated crypto-coding (encryption combined with channel coding) system is developed which incorporates improved Advanced Encryption Standard for security and Low Density Parity Check codes for error correction. Image encryption and decryption is done with AES-256 with authentication. LDPC is incorporated as one of the rounds of Encryption. The entire communication system is implemented and simulated using MATLAB. Encryption-encoding-scramblingmodulation is performed on transmit side. The channel model of Additive white Gaussian noise with varying values of SNRSignal to Noise ratio is used. The results of Bit error rates (BER), no. of errors, recovered images and histograms for different SNR values are added. The parameters like correlation, entropy and noise variance are calculated and verified. The Enhanced encryption offers a higher security compared to conventional AES. Hence, the modified method can be used to safeguard sensitive information Fri, 18 Aug 2023 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/3794 2023-08-18T00:00:00Z