A survey of handwriting synthesis from 2019 to 2024: A comprehensive review

被引:0
|
作者
Diaz, Moises [1 ]
Mendoza-Garcia, Andrea [1 ]
Ferrer, Miguel A. [1 ]
Sabourin, Robert [2 ]
机构
[1] Univ Palmas Gran Canaria, Inst Univ Desarrollo Tecnol & Innovac Comunicac, Campus Tafira, Las Palmas Gran Canaria, Spain
[2] Univ Quebec, Ecole Technol Super, Montreal, PQ, Canada
关键词
Handwriting; Synthesis; Generation; Online; Offline; Review; SIGNATURE; REPRESENTATION; GENERATION; MODEL;
D O I
10.1016/j.patcog.2025.111357
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Handwriting, as a uniquely human skill, contributes to fine motor development and cognitive growth. Beyond mere functionality, handwriting carries individuality and subtle emotional nuances, evoking feelings of intimacy and authenticity. Consequently, the generation of synthetic handwritten manuscripts should not only prioritize the production of legible text, but also seek to enhance personalization and authenticity in digital communication. This enhancement renders handwriting synthesis invaluable in domains such as digital marketing and e-learning. Notably, handwriting synthesis plays a pivotal role in forensic science, particularly in signature verification, to bolster security and prevent fraud. Additionally, it has the potential to enhance accessibility, particularly for individuals with disabilities, and assist in health monitoring among elderly populations. Motivated by the significance of handwriting synthesis, this paper conducts a comprehensive literature review on the synthetic generation of handwriting and signatures. By examining research from 2019 to 2024, we categorize methods of synthesis, evaluate synthetic handwriting quality, and explore practical applications. Furthermore, we provide insights into publicly available code resources and emerging synthetic databases.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] A Comprehensive Survey on Handwriting and Computerized Graphology
    Garoot, Afnan H.
    Safar, Maedeh
    Suen, Ching Y.
    2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), VOL 1, 2017, : 621 - 626
  • [2] Fluorescent carbon dots for biodiesel production: A Comprehensive review (2019-2024)
    Kumar, Jothi Vinoth
    Alam, Mir Waqas
    Selvaraj, Manickam
    Almutairi, Hayfa Habes
    Albuhulayqah, Maryam
    Sadaf, Shima
    Dhananjaya, Merum
    Joo, Sang Woo
    INORGANIC CHEMISTRY COMMUNICATIONS, 2024, 162
  • [3] Comprehensive Review for Arabic Handwriting and Printed Characters Recognition
    Aburas, Abdurazzag A.
    Rehiel, Salem Ali
    ICIAS 2007: INTERNATIONAL CONFERENCE ON INTELLIGENT & ADVANCED SYSTEMS, VOLS 1-3, PROCEEDINGS, 2007, : 730 - 735
  • [4] On-line and off-line handwriting recognition: A comprehensive survey
    Plamondon, R
    Srihari, SN
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2000, 22 (01) : 63 - 84
  • [5] A comprehensive review on graphene-based materials: From synthesis to contemporary sensor applications (vol 159, 100805, 2024)
    Perala, Ramaswamy Sandeep
    Chandrasekar, Narendhar
    Balaji, Ramachandran
    Alexander, Pinky Steffi
    Humaidi, Nik Zulkarnine Nik
    Hwang, Michael Taeyoung
    MATERIALS SCIENCE & ENGINEERING R-REPORTS, 2024, 160
  • [6] Research trends in entertainment robots: A comprehensive review of the literature from 1998 to 2024
    Kang, Min Hyeok
    Kim, Seongcheol
    DIGITAL BUSINESS, 2025, 5 (01):
  • [7] Handwriting Synthesis from Public Fonts
    Balreira, Dennis G.
    Walter, M.
    2017 30TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 2017, : 246 - 253
  • [8] Gender prediction system through behavioral biometric handwriting: a comprehensive review
    Monika Sethi
    Munish Kumar
    M. K. Jindal
    Soft Computing, 2023, 27 : 6307 - 6327
  • [9] Gender prediction system through behavioral biometric handwriting: a comprehensive review
    Sethi, Monika
    Kumar, Munish
    Jindal, M. K.
    SOFT COMPUTING, 2023, 27 (10) : 6307 - 6327
  • [10] Automated gender classification from handwriting: a systematic survey
    Rabaev, Irina
    Litvak, Marina
    APPLIED INTELLIGENCE, 2023, 53 (13) : 17154 - 17177