Contour-based image preprocessing for holistic handwritten word recognition

S. Madhvanath; V. Govindaraju

Contour-based image preprocessing for holistic handwritten word recognition

S. Madhvanath
, V. Govindaraju

Research and Economic Development

SUNY Buffalo

Research output: Contribution to conference › Paper › peer-review

8 Scopus citations

Abstract

The one-dimensional nature of contour representations presents interesting challenges for processing of images for handwritten word recognition. In this paper, we discuss the issues of determination of upper and lower contours of the word, determination of significant local extrema on the contour, and determination of reference lines from contour representations of handwritten words.

Original language	English
Pages	536-539
Number of pages	4
State	Published - 1997
Event	Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2) - Ulm, Ger Duration: Aug 18 1997 → Aug 20 1997

Conference

Conference	Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2)
City	Ulm, Ger
Period	08/18/97 → 08/20/97

Cite this

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title = "Contour-based image preprocessing for holistic handwritten word recognition",

abstract = "The one-dimensional nature of contour representations presents interesting challenges for processing of images for handwritten word recognition. In this paper, we discuss the issues of determination of upper and lower contours of the word, determination of significant local extrema on the contour, and determination of reference lines from contour representations of handwritten words.",

author = "S. Madhvanath and V. Govindaraju",

year = "1997",

language = "English",

pages = "536--539",

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T1 - Contour-based image preprocessing for holistic handwritten word recognition

AU - Madhvanath, S.

AU - Govindaraju, V.

PY - 1997

Y1 - 1997

N2 - The one-dimensional nature of contour representations presents interesting challenges for processing of images for handwritten word recognition. In this paper, we discuss the issues of determination of upper and lower contours of the word, determination of significant local extrema on the contour, and determination of reference lines from contour representations of handwritten words.

AB - The one-dimensional nature of contour representations presents interesting challenges for processing of images for handwritten word recognition. In this paper, we discuss the issues of determination of upper and lower contours of the word, determination of significant local extrema on the contour, and determination of reference lines from contour representations of handwritten words.

UR - https://www.scopus.com/pages/publications/0030705496

M3 - Paper

AN - SCOPUS:0030705496

SP - 536

EP - 539

T2 - Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2)

Y2 - 18 August 1997 through 20 August 1997

ER -

Contour-based image preprocessing for holistic handwritten word recognition

Abstract

Conference

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