Recognition of handwritten phrases as applied to street name images

Kim, G.; Govindaraju, Venu

doi:10.1109/cvpr.1996.517112

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…In [43][44][45][46] the proposed evaluation function returns the minimum distance between the block of primitive segments given and the training samples of the requested character. Therefore, dynamic programming seeks a global minimum instead of a maximum.…”

Section: Dynamic Programmingmentioning

confidence: 99%

“…The size of the window depends on the durational statistics of the character that it is being compared with (or the segmentation criteria if the former is not available), and other factors such as the number of characters in the lexicon word and number of primitive segments in the test image. In [44][45][46] a preliminary test to disqualify impossible lexicon words in advance was used:…”

Section: Dynamic Programmingmentioning

confidence: 99%

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Offline cursive script word recognition ? a survey

Steinherz

Rivlin

Intrator

1999

International Journal on Document Analysis and Recognition

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Abstract.We review the field of offline cursive word recognition. We mainly deal with the various methods that were proposed to realize the core of recognition in a word recognition system. These methods are discussed in view of the two most important properties of such a system: the size and nature of the lexicon involved, and whether or not a segmentation stage is present. We classify the field into three categories: segmentation-free methods, which compare a sequence of observations derived from a word image with similar references of words in the lexicon; segmentation-based methods, that look for the best match between consecutive sequences of primitive segments and letters of a possible word; and the perception-oriented approach, that relates to methods that perform a human-like reading technique, in which anchor features found all over the word are used to bootstrap a few candidates for a final evaluation phase.

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Section: Dynamic Programmingmentioning

confidence: 99%

Section: Dynamic Programmingmentioning

confidence: 99%

Offline cursive script word recognition ? a survey

Steinherz

Rivlin

Intrator

1999

International Journal on Document Analysis and Recognition

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Off-line recognition of the content of organizational template card images(visiting cards)

RamnathKumar¹,

Sharma²,

Krishna³

Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004.

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A segmentation and recognition strategy for handwritten phrases

Kim

Govindaraju²,

Srihari³

1996

Proceedings of 13th International Conference on Pattern Recognition

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A segmentation and recognition method for handwritten phrases, such as street names, is presented in this papez Some of the challengesposed by the problem are: (1) identifiiing coryect word gaps from character gaps and (2) minimization of computational complexity during the recognition of potential words. A trainable word segmentation scheme using a neural network is introduced. The network learns the type of spacing (including size) that one should expect between different pairs of characters in handwritten tat. The concept of variable duration, which is obtained during the training phase of a word recognition engine we have developed, is expanded to reduce the computational complexity which has been a serious concern in this type of application.

show abstract

Recognition of handwritten phrases as applied to street name images

Cited by 3 publications

References 8 publications

Offline cursive script word recognition ? a survey

Offline cursive script word recognition ? a survey

Off-line recognition of the content of organizational template card images(visiting cards)

A segmentation and recognition strategy for handwritten phrases

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