READING CURSIVE HANDWRITING BY ALIGNMENT OF LETTER PROTOTYPES
READING CURSIVE HANDWRITING BY ALIGNMENT OF LETTER PROTOTYPES
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DOI：
10.1007/bf00126503
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发表时间：
1990-12-01
影响因子：
19.5
通讯作者：
ULLMAN, S
中科院分区：
文献类型：
--
作者：
EDELMAN, S;FLASH, T;ULLMAN, S
我们描述了一种新的方法，草书手写体的视觉识别。 通过使用基于图像对齐和手写过程模型的方法，努力实现类似人类的性能。 对齐方法允许识别嵌入在连接字符串中的字符实例。 体现这种方法的系统已经实施和测试五个不同的词集。 无论是在文字上还是在作者身上，表现都很稳定。 该系统表现出相当大的能力，解释草书连接字符串，而不求助于词汇知识。
We describe a new approach to the visual recognition of cursive handwriting. An effort is made to attain human-like performance by using a method based on pictorial alignment and on a model of the process of handwriting. The alignment approach permits recognition of character instances that appear embedded in connected strings. A system embodying this approach has been implemented and tested on five different word sets. The performance was stable both across words and across writers. The system exhibited a substantial ability to interpret cursive connected strings without recourse to lexical knowledge.