東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Spam filtering (Electronic mail)" ]

切換: 標籤 | MARC模式 | ISBD

Text segmentation and recognition fo...

Rajalingam, Mallikka.

FindBook

Google Book

Amazon

博客來

Text segmentation and recognition for enhanced image spam detection = an integrated approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Text segmentation and recognition for enhanced image spam detection/ by Mallikka Rajalingam.
其他題名:	an integrated approach /
作者:	Rajalingam, Mallikka.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	ix, 114 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Image segmentation. -
電子資源:	https://doi.org/10.1007/978-3-030-53047-1
ISBN:	9783030530471

Text segmentation and recognition for enhanced image spam detection = an integrated approach /
Rajalingam, Mallikka.

Text segmentation and recognition for enhanced image spam detectionan integrated approach /[electronic resource] :by Mallikka Rajalingam. - Cham :Springer International Publishing :2021. - ix, 114 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8595. - EAI/Springer innovations in communication and computing..

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.

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.

ISBN: 9783030530471

Standard No.: 10.1007/978-3-030-53047-1doiSubjects--Topical Terms:

2132796
Image segmentation.

LC Class. No.: TA1638.4 / .R35 2021

Dewey Class. No.: 006.6

Text segmentation and recognition for enhanced image spam detection = an integrated approach /
LDR:02743nmm a2200337 a 4500 001 2235448
003 DE-He213
005 20200810115004.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030530471 $q (electronic bk.)
020 $a 9783030530464 $q (paper)
024 7 $a 10.1007/978-3-030-53047-1 $2 doi
035 $a 978-3-030-53047-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1638.4 $b .R35 2021
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 006.6 $2 23
090 $a TA1638.4 $b .R161 2021
100 1 $a Rajalingam, Mallikka. $3 3485926
245 1 0 $a Text segmentation and recognition for enhanced image spam detection $h [electronic resource] : $b an integrated approach / $c by Mallikka Rajalingam.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a ix, 114 p. : $b ill., digital ; $c 24 cm.
490 1 $a EAI/Springer innovations in communication and computing, $x 2522-8595
505 0 $a 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.
520 $a 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.
650 0 $a Image segmentation. $3 2132796
650 0 $a Spam filtering (Electronic mail) $3 1068370
650 0 $a Pattern recognition systems. $3 527885
650 1 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Algorithms. $3 536374
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a EAI/Springer innovations in communication and computing. $3 3299732
856 4 0 $u https://doi.org/10.1007/978-3-030-53047-1
950 $a Engineering (SpringerNature-11647)