Applying Domain Knowledge to the Recognition of Handwritten Zip Codes
نویسندگان
چکیده
We present a simple system that exploits domain knowledge to improve the segmentation and recognition of handwritten ZIP codes. Specifically, we show that the concept of metaclasses of digits, introduced by Morita et al. [16] for recognition of Brazilian bank check dates, can be extended to ZIP code recognition. We also show that, when this domain knowledge is present, integrated segmentation and recognition is not required for the recognition of handwritten ZIP codes, as claimed by Liu et al. [4].
منابع مشابه
Human Performance in Recognition of Handwritten ZIP Codes from the CEDAR Database
We established human performance in recognition of handwritten ZIP codes taken from the standard CEDAR database. We expect that the result will serve as a benchmark for machine performance in recognition of handwritten ZIP codes.
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