Research Cell: An International Journal of Engineering Sciences

Rahul Garg ¹, Naresh Kumar Garg ¹

Affiliations
1 GZS-PTU Campus, Bathinda, IN

Abstract

In this paper, a new algorithm has been proposed that can perform line segmentation in handwritten text. This algorithm is based on projection profile technique. The projection profile is then used to find the gap between two text lines. The algorithm mainly deals with skewed text. To deal with touching and overlapping of text lines, strip based technique is used. The algorithm has given comparable results with the algorithms present in literature. Comparison of results of the algorithm with the other algorithms present in literature is presented in this paper.

Keywords

Text Line Segmentation, Projection Profile, Gurumukhi Language, Handwritten Text, overlapping, Skew, Text Blocks.

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Renuka Dhawan ¹, Naresh Kumar Garg ¹

Affiliations
1 Department of Computer Science, PTU GZS Campus, Bathinda, IN

Abstract

Image fusion is the process of combining relevant information from two or more images into a single image without the introduction of distortion or loss of information. The image description of the scene in this new image is more comprehensive, more accurate and more reliable than any single image. Although an increasing number of high-resolution images are available along with sensor technology development, the process of image fusion is still a popular and important method to interpret the image data for obtaining a more suitable image for a variety of applications. To get the complete information from the single image we need to have a method to fuse the images. In the current paper we are going to propose a method that uses hybrid of wavelets for Image fusion.

Keywords

Image Fusion, Wavelet Transform, MFHWT, BIOR Wavelet.

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Manjeet Singh ¹, Naresh Kumar Garg ¹

Affiliations
1 GZS-PTU Campus, Bathinda, IN

Abstract

The paper the speech enhancement is using DWT with thresholding and types of wavelet are used to denoised the audio signals and enhance speech and audio signal quality. Our main objective is to reduce noise from system which is heavily dependent on the specific context and application. As, we want to increase the intelligibility or improve the overall speech perception quality. After studying and analyzing, we have concluded that Noise reduction technology is aimed at reducing unwanted ambient sound, and is implemented with parameters such as SNR, PSNR, MSE and the Time to reduce the noise for noisy signals for removing noise. In the DWT Coif wavelet with soft threshold is best as compared to coif hard threshold, in DWT soft threshold results are has been best as compared to hard threshold.

Keywords

MSE, SNR, PSNR, DWT Denoisng, Coif.

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