数据采集与处理2017，Vol.32Issue(6)：1097-1106,10.DOI:10.16337/j.1004-9037.2017.06.004
适用于文字检测的候选框提取算法
Proposal Extraction Method for Text Detection
摘要
Abstract
In the study of text detection ,the proposal extraction method is not widely concerned and deep-ly studied ,due to the structure of the text and otherness of the general object and the high precision re-quirement of text detection .In this paper ,we propose a proposal extraction method for text detection . The proposed method firstly utilize the fully convolutional network to predict the text regions ,which can effectively reduce the search range of the proposal extraction .Then ,the EdgeBox algorithm is improved to make it suitable for the text proposal extraction in natural scenes .In addition ,the proposed method is evaluated on two standard natural scene text detection benchmarks ,and compared with other existing methods .Results show that the proposed method has better performance and robustness than other methods .关键词
物体候选框/自然场景文字检测/全卷积网络/EdgeBoxKey words
object proposal/scene text detection/fully convolutional network/EdgeBox分类
信息技术与安全科学引用本文复制引用
朱盈盈,张拯,章成全,张兆翔,白翔,刘文予..适用于文字检测的候选框提取算法[J].数据采集与处理,2017,32(6):1097-1106,10.基金项目
国家自然科学基金优秀青年基金(61222308)资助项目 （61222308）
国家自然科学基金重点(61733007)资助项目 （61733007）
国家自然科学基金(61573160,61572207)资助项目 （61573160,61572207）
教育部新世纪优秀人才支持计划(NCET-12-0217)资助项目 （NCET-12-0217）
华中科技大学自主创新基金资助项目. （）
