Proceedings ArticleDOI
Character segmentation techniques for handwritten text-a survey
C.E. Dunn,Patrick S. P. Wang +1 more
- Vol. 1, pp 577-580
TLDR
The paper is a survey of techniques for segmenting images of handwritten text into individual characters and several approaches to each are outlined, and each is analyzed for its relevance to printed, cursive, on-line and off-line input data.Abstract:
The paper is a survey of techniques for segmenting images of handwritten text into individual characters. The topic is broken into two categories: segmentation and segmentation-recognition techniques. Several approaches to each are outlined, and each is analyzed for its relevance to printed, cursive, on-line and off-line input data. >read more
Citations
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Journal ArticleDOI
Online and off-line handwriting recognition: a comprehensive survey
TL;DR: The nature of handwritten language, how it is transduced into electronic data, and the basic concepts behind written language recognition algorithms are described.
Journal ArticleDOI
Feature extraction methods for character recognition--a survey
TL;DR: This paper presents an overview of feature extraction methods for off-line recognition of segmented (isolated) characters in terms of invariance properties, reconstructability and expected distortions and variability of the characters.
Journal ArticleDOI
A survey of methods and strategies in character segmentation
R.G. Casey,Eric Lecolinet +1 more
TL;DR: H holistic approaches that avoid segmentation by recognizing entire character strings as units are described, including methods that partition the input image into subimages, which are then classified.
Journal ArticleDOI
Survey and bibliography of Arabic optical text recognition
Badr Al-Badr,Sabri A. Mahmoud +1 more
TL;DR: This paper introduces the general topic of optical character recognition (OCR), and introduces a five stage model for AOTR systems and classify research work according to this model, and presents an historical review of the Arabic text recognition systems.
Proceedings ArticleDOI
Off-line handwritten Arabic character segmentation algorithm: ACSA
TL;DR: A new character segmentation algorithm (ACSA) of Arabic scripts is presented, which yields on the segmentation of isolated handwritten words in perfectly separated characters based on morphological rules constructed at the feature extraction phase.
References
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Journal ArticleDOI
Off-line cursive script word recognition
TL;DR: In this paper, a word image is transformed through a hierarchy of representation levels: points, contours, features, letters, and words, and a unique feature representation is generated bottom-up from the image using statistical dependences between letters and features.
Journal ArticleDOI
Cursive script recognition by elastic matching
TL;DR: A major advantage of this procedure is that it combines letter segmentation and recognition in one operation by, in essence, evaluating recognition at all possible segmentations, thus avoiding the usual segmentation-then-recognition philosophy.
Journal ArticleDOI
Recognition of isolated and simply connected hand-written numerals
Malayappan Shridhar,A. Badreldin +1 more
TL;DR: The authors describe the results of their investigation into the development of a recognition algorithm for identifying numerals that may be isolated or connected, broken or continuous using a structural classification scheme using a tree classifier.
Journal ArticleDOI
Reading cursive handwriting by alignment of letter prototypes
TL;DR: A new approach to the visual recognition of cursive handwriting is described by using a method based on pictorial alignment and on a model of the process of handwriting that permits recognition of character instances that appear embedded in connected strings.