NDLI: Neuromorphic acceleration for context aware text image recognition

Content Provider	IEEE Xplore Digital Library
Author	Qinru Qiu Zhe Li Ahmed, K. Hai Li Miao Hu
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA (Qinru Qiu; Zhe Li; Ahmed, K.) \|\| Dept. of Electr. & Comput. Eng., Univ. of Pittsburgh, Pittsburgh, PA, USA (Hai Li; Miao Hu)
Abstract	Although existing optical character recognition (OCR) tools can achieve excellent performance in text image detection and pattern recognition, they usually require a clean input image. Most of them do not perform well when the image is partially occluded or smudged. Humans are able to tolerate much worse image quality during reading because the perception errors can be corrected by the knowledge in word and sentence level context. In this paper, we present a brain-inspired information processing framework for context-aware Intelligent Text Recognition (ITR) and its acceleration using memristor based crossbar array. The ITRS has a bottom layer of massive parallel Brain-state-in-a-box (BSB) engines that give fuzzy pattern matching results and an upper layer of statistical inference based error correction. The framework works robustly in noisy environment. A parallel architecture is presented that incorporates the memristor crossbar array to accelerate the pattern matching. Compared to traditional microprocessor, the accelerator has the potential to provide tremendous area and power savings and more than 8,000 times speedups.
Starting Page	1
Ending Page	6
File Size	1673561
Page Count	6
File Format	PDF
ISBN	9781479965885
DOI	10.1109/SiPS.2014.6986098
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-20
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Government Electromagnetic interference IEC standards IEC memristor crossbar array neuromorphic text recognition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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