| L. Hong and A. Jain. Integrating faces and fingerprints for personal identification. IEEE Trans. Pattern Analysis and Machine Intelligence, 20(12):1295--1307, 1998. |
.... purposes [34] their performance can also su#er due to a mismatch between training and testing conditions; for example, a change in the illumination direction [3] Apart from speech signals and face images, it is also possible to use biometrics such as the iris, fingerprints and hand geometry [30, 55, 120]. Yet another approach is to use more than one biometric at the same time. Such a system is known as a multi modal verification system [17] it is often comprised of several modality experts and a decision stage. Since a multi modal verification system uses complementary discriminative ....
....decreased. Jourlin et al. 63, 64] used a form of weighted summation fusion to combine the opinions of two experts: a text dependent speech expert and a text dependent lip expert. Using an optimal weight, fusion led to better performance than using the underlying experts alone. Hong and Jain [55] used a fingerprint expert and a frontal face expert. A hybrid fusion scheme involving a ranked list and opinion fusion was used: opinions of the face expert for the top n identities were combined with the opinions of the fingerprint expert for the corresponding identities using a form of the ....
L. Hong and A. Jain, "Integrating Faces and Fingerprints for Personal Identification", pp. 1295-1306.
....function of the original space. In the context of face detection, this distance has been extensively used and, for example, Sung and Poggio [17] used the same idea of obtaining a distance from the feature space to detect faces in images. In the same context of identifying faces, Hong and Jain [7] used the DFFS as a metric to obtain a face recognition system. Cuetos, Neti and Senior [4] also use the DFFS for a face detection scheme. Some recent publications use the DFFS as a complementary technique to determine the best configuration for a given representation. As example, Winkeler, ....
L. Hong and A. Jain. Integrating faces and fingerprints for personal identification. IEEE Trans. PAMI, 20(12):1295--1307, 1998.
.... purposes [33] their performance can also suffer due to a mismatch between training and testing conditions; for example, a change in the illumination direction [3] Apart from speech signals and face images, it is also possible to use biometrics such as the iris, fingerprints and hand geometry [29, 52, 116]. Yet another approach is to use more than one biometric at the same time. Such a system is known as a multi modal verification system [17] it is often comprised of several modality experts and a decision stage. Since a multi modal verification system uses complimentary discriminative ....
....decreased. Jourlin et al. 60, 61] used a form of weighted summation fusion to combine the opinions of two experts: a text dependent speech expert and a text dependent lip expert. Using an optimal weight, fusion led to better performance than using the underlying experts alone. Hong and Jain [52] used a fingerprint expert and a frontal face expert. A hybrid fusion scheme involving a ranked list and opinion fusion was used: opinions of the face expert for the top n identities were combined with the opinions of the fingerprint expert for the corresponding identities using a form of the ....
L. Hong and A. Jain, "Integrating Faces and Fingerprints for Personal Identification", pp. 1295-1306.
....decreased. Jourlin et al. 30, 31] used a form of weighted summation fusion to combine the opinions of two experts: a text dependent speech expert and a text dependent lip expert. Using an optimal weight, fusion led to better performance than using the underlying experts alone. Hong and Jain [26] used a fingerprint expert and a frontal face expert. A hybrid fusion scheme involving a ranked list and opinion fusion was used: opinions of the face expert for the top n identities were combined with the opinions of the fingerprint expert for the corresponding identities using a form of the ....
L. Hong and A. Jain, "Integrating Faces and Fingerprints for Personal Identification", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 20, No. 12, 1998, pp. 1295-1306.
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L. Hong and A.K. Jain, "Integrating Faces and Fingerprints for Personal Identification", IEEE Trans. PAMI, vol. 20, no. 12, pp. 1295-1307, 1998.
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L. Hong and A. Jain. Integrating faces and fingerprints for personal identification. In Proc. 4th ACCV (to appear), Hongkong, 1998.
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L. Hong and A.K. Jain, "Integrating Faces and Fingerprints For Personal Identification, " IEEE Trans. Patt. Anal. Machine Intell., Vol.20, No.12, pp 1295-1307, 1998. 33
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L. Hong and A. Jain. Integrating faces and fingerprints for personal identification. In Proc. 3rd Asian Conference on Computer Vision, pages 16-- 23, Hong Kong, China, 1998.
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L. Hong and A.K. Jain, "Integrating Faces and Fingerprints for Personal Identification", IEEE Trans. PAMI, 20(12): 1295-1307, 1998.
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L. Hong and A. Jain, "Integrating faces and fingerprint for personal identification," IEEE Trans. Pattern Analysis and Machine Intelligence 20(12), pp. 1295--1307, 1998.
....classifiers have been developed. Brunelli and Falavigna [11] presented a person identification system by combining outputs from classifiers based on audio and visual cues. Jain et al. 12] integrated multiple fingerprint matchers to develop a robust fingerprint verification system. Hong and Jain [13] designed a decision fusion scheme to combine faces and fingerprint for personal identification. Marcialis and Roli [14] exploited the fusion of Fig. 2. Classifier combination system framework. PCA and LDA for face verification. We propose two combination strategies, sum rule and RBF network, to ....
L. Hong and A.K Jain, "Integrating faces and fingerprint for personal identification," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 12, pp. 1295--1307, 1998.
....that capture di#erent biometric traits. Such systems, known as multimodal biometric systems [3] are expected to be more reliable due to the presence of multiple pieces of evidence. These systems are also able to meet the stringent performance requirements imposed by various applications [4]. Multimodal systems address the problem of non universality: it is possible for a subset of users to not possess a particular biometric. For example, the feature extraction module of a fingerprint authentication system may be unable to extract features from fingerprints associated with ....
....matchers in this case, all matchers operate on the same representation of the biometric data. 3.3 Multiple Biometric Fusion Multibiometric fusion refers to the fusion of multiple biometric indicators. Such systems seek to improve the speed and reliability (accuracy) of a biometric system [4] by integrating matching scores obtained from multiple biometric sources. A variety of fusion schemes have been described in the literature to combine these various scores. These include majority voting, sum and product not perform person identification or verification. 6 rules, k NN ....
L. Hong, A. K. Jain, Integrating faces and fingerprints for personal identification, IEEE Transactions on PAMI 20 (12) (1998) 1295--1307.
....of the above problems can only be solved, or at least their impact reduced, by fusing several biometric identification systems, such as face and iris recognizers. In general, by fusing several classifiers, the overall error rate (the false accept rate and the false reject rate) is known to go down [6]. This also reduces spoof attacks on the biometric system. The population coverage of a combined system is, in general, larger than the coverage of a standalone biometric, regardless of the accuracy of the latter; people with various disabilities may only be able to provide certain biometrics and ....
L. Hong and A.K. Jain. Integrating faces and fingerprints for personal identificatio. IEEE Trans. on PAMI, 20(12):1295--1307, 1998.
....of the database and an imposter can easily violate the integrity of system by using fake hand [22] 1.2 Proposed system The palmprint and hand geometry images can be extracted from a hand image in a single shot at the same time. Unlike other multibiometrics systems (e .g. face and fingerprint [23], voice and face [24] etc. a user does not have to undergo the inconvenience of passing through multiple sensors. Furthermore, the fraud associated with fake hand, in hand geometry based verification system, can be alleviated with the integration of palmprint features. This paper presents a ....
L. Hong and A. K. Jain, "Integrating face and fingerprint for personal identification," IEEE Trans. Patt. Anal. Machine Intell., vol. 20, pp. 1295-1307, Dec. 1998.
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L. Hong and A. Jain. Integrating faces and fingerprints for personal identification. IEEE Trans. Pattern Analysis and Machine Intelligence, 20(12):1295--1307, 1998.
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Hong, L., Jain, A. K., 1998. Integrating faces and fingerprints for personal identification. IEEE Trans. on Pattern Anal. and Machine Intell. 20 (12), 1295--1307.
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L. Hong, A. Jain, Integrating faces and fingerprints for personal identification, IEEE Trans. Pattern Anal. Machine Intell. 20 (1998) 1295--1306.
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Lin Hong and Anil Jain, "Integrating Faces and Fingerprints for Personal Identification", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 12, Dec., 1998, pp. 1295 - 1307.
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Lin Hong and Anil Jain, "Integrating Faces and Fingerprints for Personal Identification", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 12, Dec., 1998, pp. 1295 - 1307.
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L. Hong and A. K. Jain. Integrating faces and fingerprints for personal identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(12):1295--1307, 1998.
No context found.
L. Hong, A. Jain, Integrating Faces and Fingerprints for Personal Identification, IEEE Trans. Pattern Analysis and Machine Intelligence 20 (1998) 1295-1306.
No context found.
Lin Hong and Anil Jain, "Integrating Faces and Fingerprints for Personal Identification ", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 12, Dec., 1998, pp. 1295 - 1307.
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L. Hong and A. Jain, "Integrating Faces and Fingerprints for Personal Identification", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 20, No. 12, 1998, pp. 1295-1306.
No context found.
Lin Hong and Anil Jain, "Integrating Faces and Fingerprints for Personal Identification", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 12, Dec., 1998, pp. 1295 - 1307.
No context found.
L. Hong and A. Jain, "Integrating Faces and Fingerprints for Personal Identification", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 20, No. 12, 1998, pp. 1295-1306.
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