发明名称 |
System and method for scene text recognition |
摘要 |
Apparatus and method for performing accurate text recognition of non-simplistic images (e.g., images with clutter backgrounds, lighting variations, font variations, non-standard perspectives, and the like) may employ a machine-learning approach to identify a discriminative feature set selected from among features computed for a plurality of irregularly positioned, sized, and/or shaped (e.g., randomly selected) image sub-regions. |
申请公布号 |
US9245191(B2) |
申请公布日期 |
2016.01.26 |
申请号 |
US201414479217 |
申请日期 |
2014.09.05 |
申请人 |
eBay, Inc. |
发明人 |
Bhardwaj Anurag;Lee Chen-Yu;Piramuthu Robinson;Jagadeesh Vignesh;Di Wei |
分类号 |
G06K9/66;G06K9/18;G06K9/62;G06K9/46 |
主分类号 |
G06K9/66 |
代理机构 |
Schwegman Lundberg & Woessner, P.A. |
代理人 |
Schwegman Lundberg & Woessner, P.A. |
主权项 |
1. A character-recognition method for discriminating between a plurality of character classes, the method comprising:
using a processor,
defining a plurality of irregularly sized and positioned sub-regions within an image region of specified image dimensions;for each of the plurality of character classes, determining a discriminative feature space by
computing, for each of a plurality of training images within a set of training images having the specified image dimensions and being associated with the character class, mid-level features for all of the sub-regions;computing feature weights for the mid-level features using a machine-learning algorithm applied to the set of training images;ranking the mid-level features based on the weights; andselecting a number of top-ranked features for inclusion in the discriminative feature space; andcreating a combined feature space from the discriminative feature spaces for all of the character classes. |
地址 |
San Jose CA US |