Recognition of handprinted numerals in VISA® card application forms

Machine Vision and Applications

Volumn 10, Issue 3, 1997, Pages 144-149

  Chiang, Jung Hsien ^a,c,d   Gader, Paul D ^b,e,f,g  

^a CHAOYANG UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b University of Missouri   (United States)

^c NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^d UNIVERSITY OF MISSOURI   (United States)

^e HONEYWELL   (United States)

^f UNIVERSITY OF CENTRAL FLORIDA   (United States)

^g UNIVERSITY OF FLORIDA   (United States)

Author keywords

Computer vision; Handwriting recognition; Neural networks; OCR; Self organization

Indexed keywords

GRADIENT DESCENT LEARNING ALGORITHM; HANDPRINTED NUMERIC FIELDS RECOGNITION; SELF ORGANIZING FEATURE MAP ALGORITHM;

COMPUTER VISION; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; PATTERN RECOGNITION SYSTEMS;

OPTICAL CHARACTER RECOGNITION;

EID: 0030654543     PISSN: 09328092     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001380050067     Document Type: Article

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