C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques

Ali Hamdi; Qais Al-Nuzaili; Fuad A. Ghaleb; Khaled Shaban

doi:10.1007/978-3-030-98741-1_17

C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques

Ali Hamdi^*, Qais Al-Nuzaili, Fuad A. Ghaleb, Khaled Shaban

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (SciVal)

Original language	English
Title of host publication	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	193-208
Number of pages	16
DOIs	https://doi.org/10.1007/978-3-030-98741-1_17
Publication status	Published (VoR) - 2022

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	127
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

Keywords

Handwritten recognition
Image classification

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10.1007/978-3-030-98741-1_17

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Hamdi, A., Al-Nuzaili, Q., Ghaleb, F. A., & Shaban, K. (2022). C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques. In Lecture Notes on Data Engineering and Communications Technologies (pp. 193-208). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 127). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-98741-1_17

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title = "C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques",

keywords = "Handwritten recognition, Image classification",

author = "Ali Hamdi and Qais Al-Nuzaili and Ghaleb, {Fuad A.} and Khaled Shaban",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2022",

doi = "10.1007/978-3-030-98741-1_17",

language = "English",

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Hamdi, A, Al-Nuzaili, Q, Ghaleb, FA & Shaban, K 2022, C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques. in Lecture Notes on Data Engineering and Communications Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol. 127, Springer Science and Business Media Deutschland GmbH, pp. 193-208. https://doi.org/10.1007/978-3-030-98741-1_17

C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques. / Hamdi, Ali; Al-Nuzaili, Qais; Ghaleb, Fuad A. et al.
Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, 2022. p. 193-208 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 127).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - C-SAR

T2 - Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques

AU - Hamdi, Ali

AU - Al-Nuzaili, Qais

AU - Ghaleb, Fuad A.

AU - Shaban, Khaled

PY - 2022

Y1 - 2022

KW - Handwritten recognition

KW - Image classification

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DO - 10.1007/978-3-030-98741-1_17

M3 - Chapter

AN - SCOPUS:85127867295

T3 - Lecture Notes on Data Engineering and Communications Technologies

SP - 193

EP - 208

BT - Lecture Notes on Data Engineering and Communications Technologies

PB - Springer Science and Business Media Deutschland GmbH

ER -

C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques

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Keywords

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