25.4.2.2 Completely Automated Public Turing Test to Tell Computers and Humans Apart, CAPTCHA, Generation, Breaking

Chapter Contents (Back)
CAPTCHA.

Thomas, A.O.[Achint Oommen], Rusu, A.[Amalia], Govindaraju, V.[Venu],
Synthetic handwritten CAPTCHAs,
PR(42), No. 12, December 2009, pp. 3365-3373.
Elsevier DOI 0909
HIP; CAPTCHA; Handwriting generation BibRef

Rusu, A.[Amalia], Thomas, A.O.[Achint Oommen], Govindaraju, V.[Venu],
Generation and use of handwritten CAPTCHAs,
IJDAR(13), No. 1, March 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Ramaiah, C.[Chetan], Plamondon, R.[Rejean], Govindaraju, V.[Venu],
A sigma-lognormal model for character level CAPTCHA generation,
ICDAR15(966-970)
IEEE DOI 1511
BibRef
Earlier:
A Sigma-Lognormal Model for Handwritten Text CAPTCHA Generation,
ICPR14(250-255)
IEEE DOI 1412
Accuracy BibRef

Starostenko, O.[Oleg], Cruz-Perez, C.[Claudia], Uceda-Ponga, F.[Fernando], Alarcon-Aquino, V.[Vicente],
Breaking text-based CAPTCHAs with variable word and character orientation,
PR(48), No. 4, 2015, pp. 1101-1112.
Elsevier DOI 1502
Breaking CAPTCHA BibRef

Cruz-Perez, C.[Claudia], Starostenko, O.[Oleg], Uceda-Ponga, F.[Fernando], Alarcon-Aquino, V.[Vicente], Reyes-Cabrera, L.[Leobardo],
Breaking reCAPTCHAs with Unpredictable Collapse: Heuristic Character Segmentation and Recognition,
MCPR12(155-165).
Springer DOI 1208
CAPTCHA. BibRef

Khan, M.[Majid], Shah, T.[Tariq], Batool, S.I.[Syeda Iram],
A new implementation of chaotic S-boxes in CAPTCHA,
SIViP(10), No. 1, February 2016, pp. 293-300.
WWW Link. 1601
BibRef

Hajjdiab, H.[Hassan],
Random Image Matching CAPTCHA System,
ELCVIA(16), No. 3, 2017, pp. 1-13.
DOI Link 1801
BibRef

Kwon, H.[Hyun], Kim, Y.[Yongchul], Yoon, H.[Hyunsoo], Choi, D.[Daeseon],
CAPTCHA Image Generation Systems Using Generative Adversarial Networks,
IEICE(E101-D), No. 2, February 2018, pp. 543-546.
WWW Link. 1802
BibRef

Chen, Z.[Zhe], Ma, W.F.[Wei-Feng], Xu, N.F.[Nan-Fan], Ji, C.T.[Cao-Ting], Zhang, Y.L.[Yu-Lai],
SiameseCCR: a novel method for one-shot and few-shot Chinese CAPTCHA recognition using deep Siamese network,
IET-IPR(14), No. 12, October 2020, pp. 2855-2859.
DOI Link 2010
BibRef

Zhang, J.M.[Jia-Ming], Sang, J.[Jitao], Xu, K.Y.[Kai-Yuan], Wu, S.X.[Shang-Xi], Zhao, X.[Xian], Sun, Y.F.[Yan-Feng], Hu, Y.L.[Yong-Li], Yu, J.[Jian],
Robust CAPTCHAs Towards Malicious OCR,
MultMed(23), 2021, pp. 2575-2587.
IEEE DOI 2109
CAPTCHAs, Optical character recognition software, Robustness, Distortion, Character recognition, Machine learning, OCR BibRef

Hitaj, D.[Dorjan], Hitaj, B.[Briland], Jajodia, S.[Sushil], Mancini, L.V.[Luigi V.],
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks,
IEEE_Int_Sys(36), No. 5, September 2021, pp. 104-112.
IEEE DOI 2110
CAPTCHAs, Perturbation methods, Task analysis, Machine learning, Security, Neural networks, Encoding, Security and Privacy, CAPTCHA, Adversarial Examples BibRef

Acien, A.[Alejandro], Morales, A.[Aythami], Fierrez, J.[Julian], Vera-Rodriguez, R.[Ruben],
BeCAPTCHA-Mouse: Synthetic mouse trajectories and improved bot detection,
PR(127), 2022, pp. 108643.
Elsevier DOI 2205
CAPTCHA, Bot detection, Behavior, Biometrics, Mouse, Neuromotor BibRef

Shi, C.H.[Cheng-Hui], Xu, X.G.[Xiao-Gang], Ji, S.L.[Shou-Ling], Bu, K.[Kai], Chen, J.H.[Jian-Hai], Beyah, R.[Raheem], Wang, T.[Ting],
Adversarial CAPTCHAs,
Cyber(52), No. 7, July 2022, pp. 6095-6108.
IEEE DOI 2207
CAPTCHAs, Security, Usability, Image synthesis, Computers, Resilience, Adversarial image, usable security BibRef

Arora, A.[Akanksha], Garg, H.[Hitendra], Shivani, S.[Shivendra],
Anti-phishing technique based on dynamic image captcha using multi secret sharing scheme,
JVCIR(88), 2022, pp. 103624.
Elsevier DOI 2210
Phishing, Dynamic image CPTCHA, Visual cryptography, Multi secret sharing BibRef

Wang, P.[Ping], Gao, H.[Haichang], Guo, X.Y.[Xiao-Yan], Xiao, C.X.[Chen-Xuan], Qi, F.Q.[Fu-Qi], Yan, Z.[Zheng],
An Experimental Investigation of Text-Based CAPTCHA Attacks and Their Robustness,
Surveys(55), No. 9, January 2023, pp. xx-yy.
DOI Link 2302
deep learning, robustness study, Text-based CAPTCHA, attack BibRef


Ferreira, D.D.[Diogo Daniel], Leira, L.[Luís], Mihaylova, P.[Petya], Georgieva, P.[Petia],
Breaking Text-Based CAPTCHA with Sparse Convolutional Neural Networks,
IbPRIA19(II:404-415).
Springer DOI 1910
BibRef

Jalwana, M.A.A.K.[M.A. Asim K.], Khan, M.M.[Muhammad Murtaza], Ilyas, M.U.[Muhammad U.],
Automatic Identification of CAPTCHA Schemes,
ISVC14(II: 416-426).
Springer DOI 1501
BibRef

Thomas, A.O.[Achint O.], Choudhury, S.[Sulabh], Govindaraju, V.[Venu],
Leveraging the Mixed-Text Segmentation Problem to Design Secure Handwritten CAPTCHAs,
FHR10(13-18).
IEEE DOI 1011
BibRef

Zhang, T.[Tao], Li, W.X.[Wen-Xiang], Zhang, Y.[Yan], Ping, X.J.[Xi-Jian],
Detection of LSB matching steganography based on the Laplacian model of pixel difference distributions,
ICIP10(221-224).
IEEE DOI 1009
BibRef
Earlier:
Detection of LSB matching steganography based on distribution of pixel differences in natural images,
IASP10(548-552).
IEEE DOI 1004
BibRef

Baird, H.S., Moll, M.A., Wang, S.Y.[Sui-Yu],
ScatterType: a legible but hard-to-segment CAPTCHA,
ICDAR05(II: 935-939).
IEEE DOI 0508
CAPTCHA. BibRef

Wang, S.Y.[Sui-Yu], Bentley, J.L.[Jon L.],
CAPTCHA Challenge Tradeoffs: Familiarity of Strings versus Degradation of Images,
ICPR06(III: 164-167).
IEEE DOI 0609
CAPTCHA. BibRef

Moy, G., Jones, N., Harkless, C., Potter, R.,
Distortion estimation techniques in solving visual CAPTCHAs,
CVPR04(II: 23-28).
IEEE DOI 0408
Completely Automated Public Turing Test to Tell Computers and Humans Apart. (embed words in noise to make sure a person is there.) BibRef

Mori, G., Malik, J.,
Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA,
CVPR03(I: 134-141).
IEEE DOI 0307
BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Font Recognition, Multiple Fonts, Script Type, etc. .


Last update:Mar 16, 2024 at 20:36:19