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Books on the topic 'Text detection and recognition'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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1

Chen, Datong. Text detection and recognition in images and video sequences. Lausanne: EPFL, 2003.

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2

Rajalingam, Mallikka. Text Segmentation and Recognition for Enhanced Image Spam Detection. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-53047-1.

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3

Saleeb, Atef F. Defect localization capabilities of a global detection scheme: Spatial pattern recognition using full-field vibration test data in plates. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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4

Lu, Tong, Shivakumara Palaiahnakote, Chew Lim Tan, and Wenyin Liu. Video Text Detection. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6515-6.

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5

Cipolla, Roberto, Sebastiano Battiato, and Giovanni Maria Farinella. Computer vision: Detection, recognition and reconstruction. Berlin: Springer, 2010.

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6

Drugs and the law: Detection, recognition & investigation. [Altamonte Springs, FL]: Gould Publications, 1992.

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7

Bogusław Cyganek. Object Detection and Recognition in Digital Images. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118618387.

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8

Jiang, Xiaoyue, Abdenour Hadid, Yanwei Pang, Eric Granger, and Xiaoyi Feng, eds. Deep Learning in Object Detection and Recognition. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-5152-4.

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9

Drugs and the law: Detection, recognition & investigation. Charlottesville, VA: LexisNexis, 2014.

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10

1950-, Srihari Sargur N., ed. Computer text recognition and error correction. Silver Spring, MD: IEEE Computer Society Press, 1985.

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11

Amit, Yali. 2D object detection and recognition: Models, algorithms, and networks. Cambridge, Mass: MIT Press, 2002.

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12

Zourob, Mohammed, Souna Elwary, and Anthony Turner, eds. Principles of Bacterial Detection: Biosensors, Recognition Receptors and Microsystems. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-75113-9.

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13

Yang, Ming-Hsuan, and Narendra Ahuja. Face Detection and Gesture Recognition for Human-Computer Interaction. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1423-7.

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14

1950-, Ahuja Narendra, ed. Face detection and gesture recognition for human-computer interaction. Boston: Kluwer Academic, 2001.

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15

Mohammed, Zourob, Elwary Souna, and Turner Anthony, eds. Principles of bacterial detection: Biosensors, recognition receptors, and microsystems. New York: Springer, 2008.

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16

Yang, Ming-Hsuan. Face Detection and Gesture Recognition for Human-Computer Interaction. Boston, MA: Springer US, 2001.

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17

Wosnitza, Matthias Werner. High precision 1024-point FFT processor for 2D object detection. Hartung-Gorre: Konstanz, 1999.

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18

1965-, Zhang Zhengyou, ed. Boosting-based face detection and adaptation. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2010.

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19

Ahmed, Saad Bin, Muhammad Imran Razzak, and Rubiyah Yusof. Cursive Script Text Recognition in Natural Scene Images. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1297-1.

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20

Shirman, Yakov D. Computer simulation of aerial target radar scattering, recognition, detection, and tracking. Boston: Artech House, 2002.

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21

Shirman, Yakov D. Computer simulation of aerial target radar scattering, recognition, detection, and tracking. Boston: Artech House, 2002.

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22

Herout, Adam. Real-Time Detection of Lines and Grids: By PClines and Other Approaches. London: Springer London, 2013.

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23

Jun, Shen, Pankanti Sharath, Wang Runsheng, Society of Photo-optical Instrumentation Engineers., Hua zhong gong xue yuan., Université de Bordeaux III, Guo jia zi ran ke xue ji jin wei yuan hui (China), and China Jiao yu bu, eds. Object detection, classification, and tracking technologies: 22-24 October 2001, Wuhan, China. Bellingham, Wash., USA: SPIE, 2001.

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24

Thompson, Karen H. Automatic term recognition in legal text: A feasibility study. Manchester: UMIST, 1996.

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25

Rajalingam, Mallikka. Text Segmentation and Recognition for Enhanced Image Spam Detection: An Integrated Approach. Springer International Publishing AG, 2021.

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26

Rajalingam, Mallikka. Text Segmentation and Recognition for Enhanced Image Spam Detection: An Integrated Approach. Springer International Publishing AG, 2020.

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27

Center, NASA Glenn Research, ed. Defect localization capabilities of a global detection scheme: Spatial pattern recognition using full-field vibration test data in plates. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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28

Datta, Asit Kumar, Madhura Datta, and Pradipta Kumar Banerjee. Face Detection and Recognition. Chapman and Hall/CRC, 2015. http://dx.doi.org/10.1201/b19349.

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29

Datta, Asit Kumar, Madhura Datta, and Pradipta Kumar Banerjee. Face Detection and Recognition. Taylor & Francis Group, 2019.

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30

Lu, Tong, Shivakumara Palaiahnakote, Wenyin Liu, and Chew Lim Tan. Video Text Detection. Springer London, Limited, 2014.

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31

Lu, Tong, Shivakumara Palaiahnakote, and Chew Lim Tan. Video Text Detection. Springer, 2014.

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32

Video Text Detection. Springer, 2014.

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33

Palaiahnakote, Shivakumara, Wenyin Liu, Chew Lim Tan, and Tong Lü. Video Text Detection. Springer London, Limited, 2016.

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34

Amit, Yali. 2D Object Detection and Recognition. The MIT Press, 2002. http://dx.doi.org/10.7551/mitpress/1006.001.0001.

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35

Cipolla, Roberto, Sebastiano Battiato, and Giovanni Maria Farinella. Computer Vision: Detection, Recognition and Reconstruction. Springer Berlin / Heidelberg, 2016.

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36

Cipolla, Roberto, Sebastiano Battiato, and Giovanni Maria Farinella. Computer Vision: Detection, Recognition and Reconstruction. Springer London, Limited, 2010.

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37

Wade, Nicholas J. Hidden Images. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0113.

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Abstract:
It is relatively easy to hide pictorial images, but this is of little value if they remain hidden. Presenting hidden images for visual purposes is a modern preoccupation, and some of the perceptual processes involved in them are described in this chapter. Pictorial images can be concealed in terms of detection or recognition. In both cases there is interplay between the global features of the concealed image and the local elements that carry it. Gestalt grouping principles can hinder as well as help recognition. Examples of images (mostly faces) hidden in geometrical designs and text as well as orientation are shown. Rather than being pictorial puzzles alone, hidden images can reveal aspects of visual processing. This chapter explores these concepts and related ideas such as perceptual portraits and pictorial puzzles.
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38

Miller, Gary J. Drugs and the Law: Detection, Recognition & Investigation. 2nd ed. Gould Publications, 1997.

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39

Jiang, Xiaoyue, Abdenour Hadid, and Yanwei Pang. Deep Learning in Object Detection and Recognition. Springer, 2019.

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40

Jiang, Xiaoyue, Eric Granger, Abdenour Hadid, Yanwei Pang, and Xiaoyi Feng. Deep Learning in Object Detection and Recognition. Springer, 2019.

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41

Liu, Haowei. Face Detection and Recognition on Mobile Devices. Elsevier Science & Technology Books, 2014.

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42

Datta, Asit Kumar, Madhura Datta, and Pradipta Kumar Banerjee. Face Detection and Recognition: Theory and Practice. Taylor & Francis Group, 2015.

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43

author, Datta Madhura, and Banerjee Pradipta Kumar author, eds. Face detection and recognition: Theory and practice. CRC Press/Taylor & Francis Group, 2016.

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44

Drugs And the Law: Detection, Recognition & Investigation. 3rd ed. Gould Publications, 2005.

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45

Face Detection and Recognition on Mobile Devices. Elsevier Science & Technology Books, 2014.

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46

Facial Detection and Recognition on Mobile Devices. Elsevier, 2015. http://dx.doi.org/10.1016/c2011-0-07764-5.

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47

Peli, E. Vision Models for Target Detection and Recognition. WORLD SCIENTIFIC, 1995. http://dx.doi.org/10.1142/2641.

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48

Datta, Asit Kumar, Madhura Datta, and Pradipta Kumar Banerjee. Face Detection and Recognition: Theory and Practice. Taylor & Francis Group, 2015.

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49

Jiang, Xiaoyue, Eric Granger, Abdenour Hadid, Yanwei Pang, and Xiaoyi Feng. Deep Learning in Object Detection and Recognition. Springer, 2021.

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50

Märgner, Volker, Umapada Pal, and Apostolos Antonacopoulos. Document Analysis and Text Recognition. WORLD SCIENTIFIC, 2017. http://dx.doi.org/10.1142/10689.

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