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DC Field | Value | Language |
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dc.contributor.author | Galea, Christian | - |
dc.contributor.author | Farrugia, Reuben A. | - |
dc.date.accessioned | 2017-11-17T08:38:31Z | - |
dc.date.available | 2017-11-17T08:38:31Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Galea, C., & Farrugia, R. A. (2015). Fusion of intra- and inter-modality algorithms for face-sketch recognition. 16th International Conference on Computer Analysis of Images and Patterns, Valletta. 700-711. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/23961 | - |
dc.description.abstract | Identifying and apprehending suspects by matching sketches created from eyewitness and victim descriptions to mugshot photos is a slow process since law enforcement agencies lack automated methods to perform this task. This paper attempts to tackle this problem by combining Eigentransformation, a global intra-modality approach, with the Eigenpatches local intra-modality technique. These algorithms are then fused with an inter-modality method called Histogram of Averaged Orientation Gradients (HAOG). Simulation results reveal that the intra- and inter- modality algorithms considered in this work provide complementary information since not only does fusion of the global and local intra-modality methods yield better performance than either of the algorithms individually, but fusion with the inter-modality approach yields further improvement to achieve retrieval rates of 94.05% at Rank-100 on 420 photo-sketch pairs. This performance is achieved at Rank-25 when filtering of the gallery using demographic information is carried out. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Springer | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Human face recognition (Computer science) | en_GB |
dc.subject | Biometric identification -- Technological innovation | en_GB |
dc.title | Fusion of intra- and inter-modality algorithms for face-sketch recognition | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | 16th International Conference on Computer Analysis of Images and Patterns | en_GB |
dc.bibliographicCitation.conferenceplace | Valletta, Malta, 02-04/09/2015 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1007/978-3-319-23117-4_60 | - |
Appears in Collections: | Scholarly Works - FacICTCCE |
Files in This Item:
File | Description | Size | Format | |
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OACAIP15_v12.pdf | 1.11 MB | Adobe PDF | View/Open |
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