Text segmentation and recognition for enhanced image spam detection : an integrated approach / Mallikka Rajalingam.
Rajalingam, Mallikka.
2021
TA1638.4
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Title Text segmentation and recognition for enhanced image spam detection : an integrated approach / Mallikka Rajalingam.
Author Rajalingam, Mallikka.
ISBN 9783030530471 (electronic bk.)
3030530477 (electronic bk.)
9783030530464
3030530469
DOI https://doi.org/10.1007/978-3-030-53047-1.
Publication Details Cham, Switzerland : Springer, [2021]
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-53047-1. doi
10.1007/978-3-030-53
Call Number TA1638.4
Dewey Decimal Classification 006.6
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Series EAI/Springer innovations in communication and computing, 2522-8595
Available in Other Form Text segmentation and recognition for enhanced image spam detection.
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Chapter 1. Introduction
Chapter 2. Review of Literature
Chapter 3. Methodology
Chapter 4. Character Segmentation
Chapter 5. Character Recognition
Chapter 6. Classification/Feature Extraction Using SVM and KNN Classifier
Chapter 7. Experimentation and Result discussion
Chapter 8. Conclusion.

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