{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T16:14:14Z","timestamp":1776269654342,"version":"3.50.1"},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,8,4]],"date-time":"2020-08-04T00:00:00Z","timestamp":1596499200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,4]],"date-time":"2020-08-04T00:00:00Z","timestamp":1596499200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Speech Technol"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s10772-020-09739-2","type":"journal-article","created":{"date-parts":[[2020,8,4]],"date-time":"2020-08-04T12:02:36Z","timestamp":1596542556000},"page":"779-787","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Computer vision based classroom attendance management system-with speech output using LBPH algorithm"],"prefix":"10.1007","volume":"23","author":[{"given":"D.","family":"Bhavana","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. Kishore","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N.","family":"Kaushik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.","family":"Lokesh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"Harish","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E.","family":"Mounisha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D. Ravi","family":"Tej","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,4]]},"reference":[{"key":"9739_CR1","doi-asserted-by":"crossref","unstructured":"Dalal, N., & Triggs, B. (2005). Histograms of oriented gradients for human detection. In 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR\u201905) (Vol.\u00a01, pp. 886\u2013893). IEEE","DOI":"10.1109\/CVPR.2005.177"},{"key":"9739_CR2","unstructured":"Edelman, S., Reisfeld, D., & Yeshurun, Y. (1994). A system for face recognition that learns from examples. In Proc. European Conf. Computer Vision, pp. 787\u2013791"},{"key":"9739_CR3","doi-asserted-by":"crossref","unstructured":"Grande, N. J., & Sridevi, S. (2017). Asic implementation of shared lut based distributed arithmetic in fir filter. In 2017 International conference on microelectronic devices, Circuits and Systems (ICMDCS), pp. 1\u20134. IEEE","DOI":"10.1109\/ICMDCS.2017.8211705"},{"key":"9739_CR4","first-page":"995","volume":"94","author":"PW Hallinan","year":"1994","unstructured":"Hallinan, P. W., et al. (1994). A low-dimensional representation of human faces for arbitrary lighting conditions. CVPR, 94, 995\u2013999.","journal-title":"CVPR"},{"key":"9739_CR5","volume-title":"Fddb: a benchmark for face detection in unconstrained settings","author":"V Jain","year":"2010","unstructured":"Jain, V., & Learned-Miller, E. (2010). Fddb: a benchmark for face detection in unconstrained settings. UMass Amherst technical report: Tech. Rep."},{"key":"9739_CR6","doi-asserted-by":"crossref","unstructured":"Jayant, N.K., Borra, S. (2016). Attendance management system using hybrid face recognition techniques. In 2016 Conference on advances in signal processing (CASP), pp. 412\u2013417. IEEE","DOI":"10.1109\/CASP.2016.7746206"},{"key":"9739_CR7","doi-asserted-by":"crossref","unstructured":"Jyothi, G. N., Anusha, G., Kumar, N. D., & Kundu, D. (2019). Design of finfet based dram cell for low power applications. In Computer-aided developments: electronics and communication: proceeding of the first annual conference on computer-aided developments in electronics and communication (CADEC-2019), Vellore Institute of Technology, Amaravati, India, 2\u20133 March 2019, p.\u00a035. Boca Raton: CRC Press","DOI":"10.1201\/9780429340710-5"},{"key":"9739_CR8","doi-asserted-by":"crossref","unstructured":"Jyothi, G. N., & Sriadibhatla, S. (2019). Asic implementation of low power, area efficient adaptive fir filter using pipelined da. In Microelectronics, electromagnetics and telecommunications, pp. 385\u2013394. Berlin: Springer","DOI":"10.1007\/978-981-13-1906-8_40"},{"issue":"6\u20137","key":"9739_CR9","doi-asserted-by":"publisher","first-page":"2003","DOI":"10.1166\/jctn.2018.7397","volume":"15","author":"GN Jyothi","year":"2018","unstructured":"Jyothi, G. N., & Sridevi, S. (2018). Low power, low area adaptive finite impulse response filter based on memory less distributed arithmetic. Journal of Computational and Theoretical Nanoscience, 15(6\u20137), 2003\u20132008.","journal-title":"Journal of Computational and Theoretical Nanoscience"},{"key":"9739_CR10","doi-asserted-by":"crossref","unstructured":"Khorsheed, J. A., & Yurtkan, K. (2016). Analysis of local binary patterns for face recognition under varying facial expressions. In: 2016 24th signal processing and communication application conference (SIU), pp. 2085\u20132088. IEEE","DOI":"10.1109\/SIU.2016.7496182"},{"key":"9739_CR11","unstructured":"King, D. E. (2015). Max-margin object detection. arXiv:1502.00046"},{"key":"9739_CR12","doi-asserted-by":"crossref","unstructured":"NagaJyothi, G., & SriDevi, S. (2017). Distributed arithmetic architectures for fir filters-a comparative review. In: 2017 International conference on wireless communications, signal processing and networking (WiSPNET), pp. 2684\u20132690. IEEE","DOI":"10.1109\/WiSPNET.2017.8300250"},{"issue":"23","key":"9739_CR13","doi-asserted-by":"publisher","first-page":"32679","DOI":"10.1007\/s11042-018-7038-6","volume":"78","author":"G NagaJyothi","year":"2019","unstructured":"NagaJyothi, G., & Sridevi, S. (2019). High speed and low area decision feed-back equalizer with novel memory less distributed arithmetic filter. Multimedia Tools and Applications, 78(23), 32679\u201332693.","journal-title":"Multimedia Tools and Applications"},{"key":"9739_CR14","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/s10772-019-09660-3","volume":"23","author":"G NagaJyothi","year":"2019","unstructured":"NagaJyothi, G., & Sridevi, S. (2019). High speed low area obc da based decimation filter for hearing aids application. International Journal of Speech Technology, 23, 111\u2013121.","journal-title":"International Journal of Speech Technology"},{"key":"9739_CR15","doi-asserted-by":"crossref","unstructured":"Salim, O. A. R., Olanrewaju, R. F., & Balogun, W. A. (2018) Class attendance management system using face recognition. In: 2018 7th International conference on computer and communication engineering (ICCCE), pp. 93\u201398. IEEE","DOI":"10.1109\/ICCCE.2018.8539274"},{"key":"9739_CR16","doi-asserted-by":"crossref","unstructured":"Samet, R., & Tanriverdi, M. (2017) Face recognition-based mobile automatic classroom attendance management system. In: 2017 International conference on cyberworlds (CW), pp. 253\u2013256. IEEE","DOI":"10.1109\/CW.2017.34"},{"key":"9739_CR17","unstructured":"Shehu, V., & Dika, A. (2010). Using real time computer vision algorithms in automatic attendance management systems. In: Proceedings of the ITI 2010, 32nd international conference on information technology interfaces, pp. 397\u2013402. IEEE"},{"key":"9739_CR18","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., & Wojna, Z. (2016). Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2818\u20132826","DOI":"10.1109\/CVPR.2016.308"}],"container-title":["International Journal of Speech Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-020-09739-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10772-020-09739-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-020-09739-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,3]],"date-time":"2021-08-03T23:41:09Z","timestamp":1628034069000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10772-020-09739-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,4]]},"references-count":18,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["9739"],"URL":"https:\/\/doi.org\/10.1007\/s10772-020-09739-2","relation":{},"ISSN":["1381-2416","1572-8110"],"issn-type":[{"value":"1381-2416","type":"print"},{"value":"1572-8110","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,4]]},"assertion":[{"value":"2 December 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 July 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 August 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}