Vinayak bharadi (59 resultados)

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Taschenbuch. Condición: Neu. Static Signature Recognition using Morphology | Morphological Image Processing Applied for Static Signature Recognition | Vinayak Bharadi (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848421848 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Neu. Signature Recognition Using Clustering Techniques | Vector Quantization based Approach for Static Signature Recognition | Vinayak Bharadi (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848447558 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Neu. Biometric Authentication Systems | Digital Signal Processing based Perspective | Vinayak Bharadi (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848406227 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Condición: New. pp. 252.

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Taschenbuch. Condición: Neu. Hyperspectral Face Recognition | Using Multidimensional Clustering on Hyperspectral Face Images | Vinayak Bharadi (u. a.) | Taschenbuch | 100 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659363528 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book the hyperspectral face recognition system is explored in the context of digital signal & image processing techniques. Hyperspectral images contain a wealth of data, but interpreting them requires an understanding of exactly what properties of human face we are trying to measure, and how they relate to the measurements actually made by the hyperspectral sensor. With the availability of hyperspectral face data it is possible to build systems on this. Main focus current research is to use hyperspectral face images in order to recognition the face. Hyperspectral face images with 33 band are used for generation of Vector Quantization based feature vector extraction process. These images are grouped into eleven sub-bands of three images each. Algorithms like Kekre's Fast Codebook Generation (KFCG) Algorithm and Kekre's Median Codebook Generation (KMCG) Algorithm are used to generate cod Elektronisches Buch for each sub-band and then store into feature vector database. This feature vector set is used for identification of the person. . K-Nearest Neighborhood classifier (K-NN) is used and performance is evaluated, metrics such as EER, SPI, PI are used for benchmarking. 100 pp. Englisch.…

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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Biometrics is the science of recognizing identity of a person based on the physical or behavioral attributes. Retina blood vessels have high degree of uniqueness; this makes retina recognition systems as an emerging security and authentication mechanism. Also, retinal vessels help in detection of numerous eye diseases and play an important role in automatic retinal disease screening systems. Wavelets are very good in extracting localized texture information in digital images. This book explores a new and faster type of wavelets called Kekre wavelets for extracting feature vector from retina. This book further verifies the feasibility of using Kekre wavelets to extract spectral features of the retina blood vessels and use them for verification. Multilevel decomposition is performed and feature vectors are matched using Euclidian distance and Wavelet Energy Entropy for retina match. The book demonstrates the efficacy of wavelet transform to decompose the retina image in a hierarchical framework image signal frequency to represent the retina image. The simplicity and efficacy of Kekre wavelets opens up its use in several digital image processing applications.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Content Based Image Retrieval means that the search makes use of the contents of the images themselves, rather than relying on human input metadata such as captions or keywords. By content-based techniques, a user can specify contents of interest in a query. The contents may be colors, textures, shapes, or the spatial layout of target images. In this book we have proposed a CBIR system which is implemented with the help of combination of features. Block Truncation Coding (BTC) is mainly used for image compression. The proposed method is a modification in original Block Truncation Coding called as Modified BTC (MBTC) for content based image retrieval system. Texture features are found by calculating the standard deviation of the Gabor filtered image. Gabor Filters & Modified Block Truncation Coding based feature vector is extracted then compared with corresponding feature vector of images stored in the database. Images are retrieved based on the similarities of features. The proposed method is tested thoroughly and to assess the retrieval effectiveness precision and recall as statistical comparison parameters for the MBTC and Gabor Filter based feature vectors are used. …

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book a video signal processing algorithm is proposed which is Modified H.264/AVC as a solution for Bandwidth saving through LBR (Low Bit Rate) applications to ensure acceptable video quality. Based on this concept, where the intraframe pictures are hybrid wavelet-based coded and the interframe pictures are coded with a Modified H.264/AVC encoder and decoder is proposed. Use of Modified H.264/AVC algorithm shows that this proposed hybrid encoder and decoder not only retains the same quality of the video but also lowers down the bit rate of the video considerably. AES based encryption and decryption system is proposed for added security for transmission and reception. The proposed algorithm is characterized by their efficient compression ratio, good PSNR, MSE results and lower bit rate as well as its efficient implementation in MATLAB.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Morphology is the study of external features of an object. In image processing we use the morphological features based on the shape of the object, from this a template is created and used for matching purpose. We have applied this approach for the problem of handwritten signature recognition. The static signature recognition is simple and cost effective and as large number of commercial transactions are still done on paper, handwritten signatures are widely used for authorization of the documents. Hence the static signature recognition is an important aspect of document authorization using biometric authentication. Static signature is captured from the paper using image scanner, we have only static information such as shape, strokes, orientation available with us. We use techniques based on morphological operations such as erosion, dilation to generate the template and measure the authenticity of the signature.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book the hyperspectral face recognition system is explored in the context of digital signal & image processing techniques. Hyperspectral images contain a wealth of data, but interpreting them requires an understanding of exactly what properties of human face we are trying to measure, and how they relate to the measurements actually made by the hyperspectral sensor. With the availability of hyperspectral face data it is possible to build systems on this. Main focus current research is to use hyperspectral face images in order to recognition the face. Hyperspectral face images with 33 band are used for generation of Vector Quantization based feature vector extraction process. These images are grouped into eleven sub-bands of three images each. Algorithms like Kekre's Fast Codebook Generation (KFCG) Algorithm and Kekre's Median Codebook Generation (KMCG) Algorithm are used to generate cod Elektronisches Buch for each sub-band and then store into feature vector database. This feature vector set is used for identification of the person. . K-Nearest Neighborhood classifier (K-NN) is used and performance is evaluated, metrics such as EER, SPI, PI are used for benchmarking.…

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bharadi VinayakDr. V. A. Bharadi has received B.E. Electronics Engg.in 2002 & M. E. Electronics & Telecomm in 2007 from Mumbai University. He has completed Ph.D. in Engineering (Biometrics Authentication Systems)from NMIMS University.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bharadi VinayakDr. V. A. Bharadi has received B.E. Electronics Engg. in 2002 & M. E. Electronics & Telecomm. in 2007 from Mumbai University. He has completed Ph.D. in Engineering (Biometrics Authentication Systems) from NMIMS Univers.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bharadi VinayakDr. V. A. Bharadi has received B.E. Electronics Engg.in2002 & M. E. Electronics & Telecomm in 2007 fromMumbai University. He has completed Ph.D. inEngineering (Biometrics Authentication Systems) fromNMIMS University in. …

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bharadi VinayakDr. V. A. Bharadi has received B.E. Electronics Engg.in2002 & M. E. Electronics & Telecomm in 2007 fromMumbai University. He has completed Ph.D. inEngineering (Biometrics Authentication Systems)fromNMI MS University in.…