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Text Segmentation and Recognition for Enhanced Image Spam Detection - An Integrated Approach (Hardcover, 1st ed. 2021)
Loot Price: R2,953
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Text Segmentation and Recognition for Enhanced Image Spam Detection - An Integrated Approach (Hardcover, 1st ed. 2021)
Series: EAI/Springer Innovations in Communication and Computing
Expected to ship within 12 - 17 working days
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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.
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