Translator Disclaimer
4 January 1995 Use of convex deficiencies for the recognition of hand-printed digits
Author Affiliations +
Proceedings Volume 2356, Vision Geometry III; (1995) https://doi.org/10.1117/12.198605
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
Abstract
Given the number and variety of methods offered for hand printed character recognition, it may very well be that there is no single method that can be called the `best.' Most algorithms either use a collection of properties of the set of pixels belonging to the object, or attempt to measure structural properties of higher level features (e.g., lines) which are composed of object pixels. Unfortunately the degree of variation seen in handprinted characters makes feature properties hard to measure accurately, and complicates the extraction of structural features. What is suggested here is the use of the background areas remaining after the character itself is removed.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James R. Parker "Use of convex deficiencies for the recognition of hand-printed digits", Proc. SPIE 2356, Vision Geometry III, (4 January 1995); https://doi.org/10.1117/12.198605
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Model recommendation for pedestrian detection
Proceedings of SPIE (August 28 2016)
Deformable shape retrieval using bag-of-feature techniques
Proceedings of SPIE (January 27 2011)
Geometric transform for shape feature extraction
Proceedings of SPIE (October 22 2000)
Defining the digital skeleton
Proceedings of SPIE (April 08 1993)
Nonlinear shape abstraction for automatic inspection
Proceedings of SPIE (November 30 1993)

Back to Top