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Text Segmentation and Recognition for Enhanced Image Spam Detection - An Integrated Approach (Hardcover, 1st ed. 2021) Loot Price: R3,032
Discovery Miles 30 320
Text Segmentation and Recognition for Enhanced Image Spam Detection - An Integrated Approach (Hardcover, 1st ed. 2021):...

Text Segmentation and Recognition for Enhanced Image Spam Detection - An Integrated Approach (Hardcover, 1st ed. 2021)

Mallikka Rajalingam

Series: EAI/Springer Innovations in Communication and Computing

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Loot Price R3,032 Discovery Miles 30 320 | Repayment Terms: R284 pm x 12*

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This book discusses email spam detection and its challenges such as text classification and categorization. The book proposes an efficient spam detection technique that is a combination of Character Segmentation and Recognition and Classification (CSRC). The author describes how this can detect whether an email (text and image based) is a spam mail or not. The book presents four solutions: first, to extract the text character from the image by segmentation process which includes a combination of Discrete Wavelet Transform (DWT) and skew detection. Second, text characters are via text recognition and visual feature extraction approach which relies on contour analysis with improved Local Binary Pattern (LBP). Third, extracted text features are classified using improvised K-Nearest Neighbor search (KNN) and Support Vector Machine (SVM). Fourth, the performance of the proposed method is validated by the measure of metric named as sensitivity, specificity, precision, recall, F-measure, accuracy, error rate and correct rate. Presents solutions to email spam detection and discusses its challenges such as text classification and categorization; Analyzes the proposed techniques' performance using precision, F-measure, recall and accuracy; Evaluates the limitations of the proposed research thereby recommending future research.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: EAI/Springer Innovations in Communication and Computing
Release date: August 2020
First published: 2021
Authors: Mallikka Rajalingam
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 114
Edition: 1st ed. 2021
ISBN-13: 978-3-03-053046-4
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 3-03-053046-9
Barcode: 9783030530464

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