Browsing M Tech Dissertations by Author "Joshi, Manjunath V."

Now showing items 21-34 of 34

    • Optical character recognition (OCR) feature extraction and classification 

      Prajapati, Pratik Kamlesh (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      Optical character recognition (OCR) [6] is a process of digitizing an image or document containing text. In the OCR system, we do the classification of optical patterns contained in a digital image corresponding to ...

    • Optimization techniques for deep neural networks 

      Bhaisaheb, Shabbirhussain Hamid (2020)
      Optimization techniques are used to make the neural networks to converge to an optimal solution. Different techniques such as gradient-based approaches are utilized to obtain the parametric solution having objective function ...

    • Person identification using face and speech 

      Parmar, Ajay (Dhirubhai Ambani Institute of Information and Communication Technology, 2012)
      In this thesis, we present a multimodal biometric system using face and speech features. Multimodal biometrics system uses two or more intrinsic physical or behaviour traits to provide better recognition rate than unimodal ...

    • Practical approach for depth estimation and image restoration using defocus cue 

      Ranipa, Keyur R. (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      Reconstruction of depth from 2D images is an important research issue in computer vision. Depth from defocus (DFD) technique uses space varying blurring of an image as a cue in reconstructing the 3D structure of a scene. ...

    • Practical approaches for photometric stereo 

      Sharma, Swati (Dhirubhai Ambani Institute of Information and Communication Technology, 2007)
      In this thesis work, we aim to propose approaches for photometric stereo that are less time consuming and have low computational requirements. Many applications of computer vision require high resolution 3-D structure of ...

    • Reconstruction of 1-D signal from the undersampled version 

      Geethakrishnan, P. (Dhirubhai Ambani Institute of Information and Communication Technology, 2014)
      In the present era of information the data transmission and data storage are done as per the sampling theorem. The sampling theorem states that a bandlimited signal has to be sampled at a rate two times the maximum frequency ...

    • Remaining useful life prediction and bug triaging using machine learning techniques 

      Naik, Krishna Keyurbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      In the field of engineering, it’s become important to understand machines and components of it, not only in terms of how they are performing currently but also how their performance degrades over time. Breakdown of a machine ...

    • Segmentation and classification: optical character recognition algorithms to enhance the accuracy 

      Shah, Ketul Tejas (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      OCR (Optical Character Recognition) is a well known algorithm for the conversion of machine printed or handwritten text images to machine-encoded text. As the word "Optical" is related to light or vision, an OCR system ...

    • Single frame superresolution 

      Sattaru, Annamnaidu (Dhirubhai Ambani Institute of Information and Communication Technology, 2008)
      Super-resolving an image from single frame observation image. In many cases more than one low resolution observations may not be available, need high spatial resolution images e.g. medical imaging, remote sensing etc.. We ...

    • Super-resolution of hyperspectral images 

      Bhimani, Amitkumar H. (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      Hyperspectral (HS) images are used for space areal application, target detection and remote sensing application. HS images are very rich in spectral resolution but at a cost of spatial resolution. HS images generated by ...

    • Text description of image 

      Sisodiya, Neha (Dhirubhai Ambani Institute of Information and Communication Technology, 2013)
      Image comprises of something which is easy for human beings to understand but difficult for a machine to interpret. In this thesis, we propose an algorithm to obtain the textual description of the image content. In order ...

    • Texton based auto region detection for image inpainting 

      Vora, Manali (Dhirubhai Ambani Institute of Information and Communication Technology, 2012)
      Historical monuments are considered as one of the key aspects for modern communities. Unfortunately, because of variety of factors these monuments are sometimes damaged or destroyed. Image inpainting is the process of ...

    • Vehicle detection and tracking 

      Rao, K. Ramprasad (Dhirubhai Ambani Institute of Information and Communication Technology, 2009)
      Real time trafficc monitoring is one of the most challenging problems in machine vision. This is one of the most sorted out research topic because of the wide spec-trum of promising applications in many areas such as smart ...

    • Wind energy forecasting using recurrent neural networks 

      Rani, Neha (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Wind energy has the potential to meet all our electricity demands and is a cost effective source of energy. Power operators dealing with the electricity generation from wind energy often face many problems due to the ...