Institutional-Repository, University of Moratuwa.  

Dominant color palette extraction in resumes using the new color pixel quantifier algorithm

Show simple item record

dc.contributor.author Perera, NN
dc.contributor.author Warusawithana, SP
dc.contributor.author Weerasinghe, RL
dc.contributor.author Hindakaraldeniya, TM
dc.contributor.author Ganegoda, GU
dc.contributor.editor Piyatilake, ITS
dc.contributor.editor Thalagala, PD
dc.contributor.editor Ganegoda, GU
dc.contributor.editor Thanuja, ALARR
dc.contributor.editor Dharmarathna, P
dc.date.accessioned 2024-02-13T05:48:53Z
dc.date.available 2024-02-13T05:48:53Z
dc.date.issued 2023-12-07
dc.identifier.uri http://dl.lib.uom.lk/handle/123/22214
dc.description.abstract In the realm of resume analysis and enhancement, the extraction of dominant color palettes plays a pivotal role in assessing the visual impact of resumes. Existing methods designed for images with extensive color ranges have proven to be suboptimal when applied to the distinct context of resumes, which inherently possess a limited color palette. This paper introduces a novel approach that addresses this challenge effectively and efficiently. By minimizing the time required for palette extraction without compromising accuracy, the proposed method offers a practical solution for resume feedback systems. It is important to clarify that this research neither rejects nor supports existing methods; instead, it presents an alternative, tailor-made solution for resume analysis. In summary, this paper sets a promising precedent for more streamlined and functional dominant color palette extraction methods in the context of resumes, promising advancements in resume analysis and improvement. en_US
dc.language.iso en en_US
dc.publisher Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.subject Color palette extraction en_US
dc.subject Resume design analysis en_US
dc.subject Color pixel quantifier en_US
dc.title Dominant color palette extraction in resumes using the new color pixel quantifier algorithm en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2023 en_US
dc.identifier.conference 8th International Conference in Information Technology Research 2023 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.pgnos pp. 1-5 en_US
dc.identifier.proceeding Proceedings of the 8th International Conference in Information Technology Research 2023 en_US
dc.identifier.email nimnaperera98@gmail.com en_US
dc.identifier.email supunawa@gmail.com en_US
dc.identifier.email reshakalakshan@gmail.com en_US
dc.identifier.email tharushi.18@itfac.mrt.ac.lk en_US
dc.identifier.email upekshag@uom.lk en_US


Files in this item

This item appears in the following Collection(s)

  • ICITR - 2023 [47]
    International Conference on Information Technology Research (ICITR)

Show simple item record