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A Novel Traffic Sign Recognition System Combining Viola–Jones Framework and Deep Learning

Publication Type : Conference Paper

Publisher : Springer Singapore

Source : Soft Computing and Signal Processing, Springer Singapore, Volume 900, Singapore, p.507-517 (2019)

ISBN : 9789811336003

Campus : Coimbatore

School : School of Engineering

Department : Electronics and Communication

Verified : Yes

Year : 2019

Abstract : An automated traffic sign detection system is an important aspect of advanced driver assistance systems (ADAS) as it significantly enhances the driver's situational awareness. In this paper, a novel approach combining Viola–Jones framework and deep learning, to design of a camera-based traffic sign recognition system capable of detecting and identifying the traffic signs, is presented. The proposed system is designed and tested for its effectiveness under Indian road conditions. It is observed that the designed system is well capable of correctly detecting the correct traffic signs even in the presence of non-standardized traffic signs.

Cite this Research Publication : A. Jose, Thodupunoori, H., and Dr. Binoy B. Nair, “A Novel Traffic Sign Recognition System Combining Viola–Jones Framework and Deep Learning”, in Soft Computing and Signal Processing, Singapore, 2019, vol. 900, pp. 507-517.

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